{"id":38274,"date":"2025-04-29T12:48:57","date_gmt":"2025-04-29T05:48:57","guid":{"rendered":"https:\/\/1dddev.com\/statsci\/?page_id=38274"},"modified":"2025-06-20T14:56:59","modified_gmt":"2025-06-20T07:56:59","slug":"research","status":"publish","type":"page","link":"https:\/\/1dddev.com\/statsci\/research\/","title":{"rendered":"\u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22"},"content":{"rendered":"\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden open\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2567\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:block;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Fuzzy method for multiple hypotheses testing procedure, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Structural properties of the alpha power exponentiated generalized Pareto distribution with applications, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The impact of neglecting feature scaling in k-means clustering, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Cultivating black soldier fly (Hermetia illucens) larvae on coconut endosperm and soybean curd residue: Impact on growth performance, waste reduction efficiency and larval nutritional composition, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Discrete Gompertz-Lomax distribution and its applications, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Impacts of substituting fish meal with full-fat or defatted black soldier fly (Hermetia illucens) larvae on growth, quality, and health of Nile tilapia (Oreochromis niloticus) fingerlings, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The shifted Chebyshev series-based plug-in for bandwidth selection in kernel density estimation, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Finding robust response surface designs with blocking using a model-weighted A-optimality criterion, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>Fuzzy method for multiple hypotheses testing procedure, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%94%e0%b8%a3-%e0%b8%9b%e0%b8%b9%e0%b9%80%e0%b8%9b%e0%b9%89-%e0%b8%aa%e0%b8%b8%e0%b8%94%e0%b8%a8%e0%b8%b4%e0%b8%a5%e0%b8%b2\/\">\u0e1b\u0e39\u0e40\u0e1b\u0e49 \u0e2a\u0e38\u0e14\u0e28\u0e34\u0e25\u0e32<\/a><\/li>\n\n\n\n<li>Fuzzy method for multiple hypotheses testing procedure, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Depression, substance use and factors associated with sexual risk behaviors among adults living with HIV in the Asia-Pacific region, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Identifying the determinants of tourism receipts of Thailand and relevant determinant-determinant interactions, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Comparing the performance of Ridge Regression and Lasso techniques for modelling daily maximum temperatures in Utraradit Province of Thailand, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>High mortality in adolescents and young adults with perinatally-acquired HIV in Thailand during the transition to adulthood, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Sufficient reduction method for bivariate zero-inflated Poisson process, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%a7\/\">\u0e2a\u0e27\u0e1e\u0e23 \u0e2b\u0e34\u0e0d\u0e0a\u0e35\u0e23\u0e30\u0e19\u0e31\u0e19\u0e17\u0e19\u0e4c<\/a><\/li>\n\n\n\n<li>The operating-characteristic curve for x\u0304 control chart when the normality assumption is violated, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>The shifted Chebyshev series-based plug-in for bandwidth selection in kernel density estimation, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>A generating family of unit-Garima distribution: Properties, likelihood inference, and application, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Spatial autoregression analysis of surface urban heat island intensity in the tropical industrial city of Rayong, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Adaptive cluster path sampling, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Interplay of xenobiotic-degrading and antibiotic-resistant microorganisms among the microbiome found in the air, handrail, and floor of the subway station, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Predictive model for Northern Thailand rainfall using Ni\u00f1o indexes and sea surface height anomalies in the South China Sea, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Application of deep belief network in weather modeling: PM2.5 concentration in Thailand, 2567 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2566\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Performance of some confidence intervals for estimating the population mean under contaminated normal distribution, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A novel approach for combined forecasting model systems based on the correlation coefficient ranking of the individual forecasting models, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A novel approach for combined forecasting model systems based on the correlation coefficient ranking of the individual forecasting models, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Exact moments of generalized Akash order statistics, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Exact moments of generalized Akash order statistics, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Alpha Power Exponentiated Pareto Distribution, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Generating robust optimal mixture designs due to missing observation using a multi-objective genetic algorithm, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>A modified weighting system for combined forecasting methods based on the correlation coefficients of the individual forecasting models, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Factors associated with morbidity and mortality among sexually active Asian adolescents and young adults with perinatally acquired HIV, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>AirDNA sampler: An efficient and simple device enabling high-yield, high-quality airborne environment DNA for metagenomic applications, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Effects of Melaleuca cajuputi leaf extract on inhibition of seed germination and seedling growth of 12 weed species, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>On new bivariate Poisson-Lindley distribution with application of correlated bivariate count data analysis, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Setting the initial value for single exponential smoothing and the value of the smoothing constant for forecasting using solver in Microsoft Excel, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The performance of multivariate exponentially weighted moving average control chart based on regression adjustment when the multivariate normality assumption is violated, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>Long-term outcomes of rapid antiretroviral NNRTI-based initiation among Thai youth living with HIV: a national registry database study, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Statistical approaches for assessing the effectiveness of safety devicesuse in preventing head injuries from motorcycle crashes, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Incidence and clearance of anal Human Papillomavirus infection in 16 164 Individuals, According to Human Immunodeficiency Virus Status, Sex, and Male Sexuality: An International Pooled Analysis of 34 Longitudinal Studies, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Treatment outcomes after switching to second-line anti-retroviral therapy: results from the Thai national treatment program, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%94%e0%b8%a3-%e0%b8%9b%e0%b8%b9%e0%b9%80%e0%b8%9b%e0%b9%89-%e0%b8%aa%e0%b8%b8%e0%b8%94%e0%b8%a8%e0%b8%b4%e0%b8%a5%e0%b8%b2\/\">\u0e1b\u0e39\u0e40\u0e1b\u0e49 \u0e2a\u0e38\u0e14\u0e28\u0e34\u0e25\u0e32<\/a><\/li>\n\n\n\n<li>Treatment outcomes after switching to second-line anti-retroviral therapy: results from the Thai national treatment program, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e08\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e2a\u0e35\u0e22\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21 p \u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21 PM \u0e41\u0e25\u0e30\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21 EWMA, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e41\u0e25\u0e30\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e2a\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e17\u0e35\u0e48\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e08\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e2a\u0e35\u0e22\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21 p \u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21 PM \u0e41\u0e25\u0e30\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21 EWMA, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e41\u0e25\u0e30\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e43\u0e19\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e2a\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e17\u0e35\u0e48\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>A comparison of nonparametric statistics and bootstrap methods for testing two independent populations with unequal variance, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>ARIMA for forecasting the exchange rate of the Thai Baht against the Chinese Yuan, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">\u0e40\u0e2a\u0e32\u0e27\u0e20\u0e32 \u0e0a\u0e31\u0e22\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c<\/a><\/li>\n\n\n\n<li>A comparison of nonparametric statistics and bootstrap methods for testing two independent populations with unequal variance, 2566 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2565\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Zero-one inflated negative binomial \u2013 beta exponential distribution for count data with many zeros and ones, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Bayesian estimation of discrete exponentiated Pareto distribution, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Bayesian inference for negative binomial\u2014beta exponential distribution and its regression model, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Comparison of confidence intervals for variance components in an unbalanced one-way random effects model, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>An optimal threshod selection approach for the value at risk of the extreme events, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Factorwise variance dispersion graphs, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>The Topp-Leone generalized extreme value distribution: Extreme value analysis and return level estimation of the PM2.5 in Chiang Mai, Thailand, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The generalized distributions on the unit interval based on the T-Topp-Leone family of distributions, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The generalized distributions on the unit interval based on the T-Topp-Leone family of distributions, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Association between out-patient visits and air pollution in Chiang Mai, Thailand: Lessons from a unique situation involving a large data set showing high seasonal levels of air pollution, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Virological failure and treatment switch after ART initiation among people living with HIV with and without routine viral load monitoring in Asia, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>The beta Topp-Leone generated family of distributions and theirs applications, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The beta Topp-Leone generated family of distributions and theirs applications, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Robust confidence interval estimation method for the mean of Poisson distribution to handle outliers, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e43\u0e19\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1e\u0e37\u0e49\u0e19\u0e1c\u0e34\u0e27\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e43\u0e19\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1e\u0e37\u0e49\u0e19\u0e1c\u0e34\u0e27\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07, 2565 &#8211;<a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\"> \u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e43\u0e19\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1e\u0e37\u0e49\u0e19\u0e1c\u0e34\u0e27\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Stratified path sampling, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The effects of sampling from finite populations in a mixed effects gage R&amp;R study, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Comparison of listwise deletion and imputation methods for handling a single missing response value in a central composite design, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Factors affecting tourism demand of Chinese and Russian tourists traveling to Thailand, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e02\u0e2d\u0e07\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e41\u0e1f\u0e01\u0e17\u0e2d\u0e40\u0e23\u0e35\u0e22\u0e25 3 \u0e1b\u0e31\u0e08\u0e08\u0e31\u0e22\u0e43\u0e19\u0e1a\u0e25\u0e47\u0e2d\u0e01\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e40\u0e0a\u0e34\u0e07\u0e2a\u0e38\u0e48\u0e21, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e02\u0e2d\u0e07\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e41\u0e1f\u0e01\u0e17\u0e2d\u0e40\u0e23\u0e35\u0e22\u0e25 3 \u0e1b\u0e31\u0e08\u0e08\u0e31\u0e22\u0e43\u0e19\u0e1a\u0e25\u0e47\u0e2d\u0e01\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e40\u0e0a\u0e34\u0e07\u0e2a\u0e38\u0e48\u0e21, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>The average run length performance of Shewhart control chart when the process data are sampled from finite population, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>The average run length performance of Shewhart control chart when the process data are sampled from finite population, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e43\u0e19\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1a\u0e25\u0e47\u0e2d\u0e01\u0e2a\u0e38\u0e48\u0e21\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>A regression estimator in path sampling, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>A regression estimator in path sampling, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e43\u0e19\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1a\u0e25\u0e47\u0e2d\u0e01\u0e2a\u0e38\u0e48\u0e21\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Classical forecasting of international tourist arrivals to Thailand, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>The Poisson-transmuted Janardan distribution for modelling count data, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>A modified robust confidence interval for the population mean of distribution based on deciles, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Imputation methods for missing response values in the three parts of a central composite design with two factors, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A decision tree for information of foreign tourists traveling to Thailand, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Efficiency comparison of new adjusted nonparametric and parametric statistics interval estimation methods in the simple linear regression model, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The impact of a random vector with variables from normal and non\u2010normal distributions on multivariate control charts, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>The impact of a random vector with variables from normal and non\u2010normal distributions on multivariate control charts, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>The impact of a random vector with variables from normal and non\u2010normal distributions on multivariate control charts, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Development of Thai spondee words for SRT measurement in children, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Comparing the efficiency levels of multiple comparison methods for normal distributed observations, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Comparing the efficiency levels of multiple comparison methods for normal distributed observations, 2565 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2564\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>The zero-truncated Poisson-weighted exponential distribution with applications, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The zero-truncated Poisson-weighted exponential distribution with applications, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>The efficiency of ridge estimations for multicollinearity multiple linear regression: a Monte-Carlo simulation-based study, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Imputation methods in time series with a trend and a consecutive missing value pattern, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The efficiency of ridge estimations for multicollinearity multiple linear regression: a Monte-Carlo simulation-based study, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>Using survival analysis to investigate undergraduate student dropout rates in the College of Arts, Media and Technology, Chiang Mai University, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Using survival analysis to investigate undergraduate student dropout rates in the College of Arts, Media and Technology, Chiang Mai University, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e2a\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e23\u0e27\u0e08\u0e08\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e17\u0e35\u0e48\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e02\u0e36\u0e49\u0e19\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e43\u0e19\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e1b\u0e31\u0e27\u0e0b\u0e07, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%a7\/\">\u0e2a\u0e27\u0e1e\u0e23 \u0e2b\u0e34\u0e0d\u0e0a\u0e35\u0e23\u0e30\u0e19\u0e31\u0e19\u0e17\u0e19\u0e4c<\/a><\/li>\n\n\n\n<li>The effect on forecasting accuracy of the Holt-Winters method when using the incorrect model on a non-stationary time series, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The robustness of sufficient reduction methods for detecting shifts of various types in multivariate processes, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%a7\/\">\u0e2a\u0e27\u0e1e\u0e23 \u0e2b\u0e34\u0e0d\u0e0a\u0e35\u0e23\u0e30\u0e19\u0e31\u0e19\u0e17\u0e19\u0e4c<\/a><\/li>\n\n\n\n<li>Opinions of children and youth in the 3 southern border provinces on their liverhoods in the current situation, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e08\u0e33\u0e19\u0e27\u0e19\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e42\u0e23\u0e04\u0e1b\u0e2d\u0e14\u0e2d\u0e31\u0e01\u0e40\u0e2a\u0e1a\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%a7\/\">\u0e2a\u0e27\u0e1e\u0e23 \u0e2b\u0e34\u0e0d\u0e0a\u0e35\u0e23\u0e30\u0e19\u0e31\u0e19\u0e17\u0e19\u0e4c<\/a><\/li>\n\n\n\n<li>Improvement of the Holt-Winters multiplicative method with a new initial value settings method, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The performance of control chart for individual measurements when the process data are uniformly distributed, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>The performance of control chart for individual measurements when the process data are uniformly distributed, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Using geometric mean to compute robust mixture designs, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Power Garima-generated family of distributions: properties and application, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>A ratio estimator in path sampling, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>A ratio estimator in path sampling, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Forecasting the import value of Thailand, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Expected mean squares for model effects in the two-way ANOVA model when sampling from finite populations, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Confidence estimation of a ratio of binomial proportions for dependent populations, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Confidence estimation of a ratio of binomial proportions for dependent populations, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>Efficiency proportion estimations for Thai people infected Coronavirus 2019 (COVID-19) in Thailand by Jackknifing method and bootstrapping method, 2564 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2563\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Incidence and persistence of high-risk anogenital human papillomavirus infection among female youth with and without perinatally acquired HIV infection: a 3-year observational cohort study, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>A combined forecasting model for predicting the number of road traffic accident deaths in Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A combined forecasting model for predicting the number of road traffic accident deaths in Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>Analysis of the infant gut microbiome reveals metabolic functional roles associated with healthy infants and infants with atopic dermatitis using metaproteomics, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Rapid antiretroviral initiation among Thai youth living with HIV in the National AIDS programme in the era of treatment at any CD4 cell count: a national registry database study, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Imputation for consecutive missing values in non-stationary time series data, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Time series ARIMA model for prediction of Thailand\u2019s monthly average cassava starch domestic price, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">\u0e40\u0e2a\u0e32\u0e27\u0e20\u0e32 \u0e0a\u0e31\u0e22\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c<\/a><\/li>\n\n\n\n<li>Prevalence of high-risk nonavalent vaccine-type Human Papillomavirus infection among unvaccinated, sexually active Asian female adolescents with and without perinatally acquired HIV infection, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Impact of low-level viraemia on virological failure among Asian children with perinatally acquired HIV on first-line combination antiretroviral treatment: a multicentre, retrospective cohort study, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Determinants of viral resuppression or persistent virologic failure after initial failure with second-line antiretroviral treatment among Asian children and adolescents with HIV, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Performance of robust confidence intervals for estimating population mean under both non-normality and in presence of outliers, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Confidence interval for the scale parameter of a two-parameter weibull distribution: one sample problem, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2d\u0e19\u0e38\u0e01\u0e23\u0e21\u0e40\u0e27\u0e25\u0e32\u0e17\u0e35\u0e48\u0e21\u0e35\u0e25\u0e31\u0e01\u0e29\u0e13\u0e30\u0e44\u0e21\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e41\u0e25\u0e30\u0e44\u0e21\u0e48\u0e04\u0e07\u0e17\u0e35\u0e48, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2d\u0e19\u0e38\u0e01\u0e23\u0e21\u0e40\u0e27\u0e25\u0e32\u0e17\u0e35\u0e48\u0e21\u0e35\u0e25\u0e31\u0e01\u0e29\u0e13\u0e30\u0e44\u0e21\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e41\u0e25\u0e30\u0e44\u0e21\u0e48\u0e04\u0e07\u0e17\u0e35\u0e48, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">\u0e40\u0e2a\u0e32\u0e27\u0e20\u0e32 \u0e0a\u0e31\u0e22\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c<\/a><\/li>\n\n\n\n<li>Improvement of Imputation Methods for Consecutive Missing Values in Time Series &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A Comparison Study of Response Surface Designs for the Full Second Order Model and a Set of Reduced Models in a Spherical Region by Variance Dispersion Graph &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>The Sized-Biased Poisson new weighted Lindley Distribution with Application &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The Topp-Leone Generalized Exponential Power Series Distribution with Applications &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Characterization of Two-Sided Topp-Leone Family and Its Applications &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e10\u0e32\u0e19\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e43\u0e19\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e16\u0e14\u0e16\u0e2d\u0e22 \u0e01\u0e23\u0e13\u0e35\u0e04\u0e27\u0e32\u0e21\u0e04\u0e25\u0e32\u0e14\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19\u0e44\u0e21\u0e48\u0e04\u0e07\u0e17\u0e35\u0e48 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e17\u0e35\u0e48\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19 \u0e01\u0e23\u0e13\u0e35\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19\u0e02\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e44\u0e21\u0e48\u0e40\u0e17\u0e48\u0e32\u0e01\u0e31\u0e19 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Optimal time series model for forecasting monthly temperature in the southwestern region of Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>On comparing the efficiency of two classification methods for precipitation occurrence in Bangkok, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>On comparing the efficiency of two classification methods for precipitation occurrence in Bangkok, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>Estimating of precipitation occurrence during 2006-2016 in Bangkok, Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Estimating of precipitation occurrence during 2006-2016 in Bangkok, Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Estimating of precipitation occurrence during 2006-2016 in Bangkok, Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>A confidence interval for the population mean of a one-parameter exponential distribution based on the Wilson-Hilferty transformation, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Parameter estimation of the negative binomial-new weighted Lindley distribution by the method of maximum likelihood, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Increased burden of concordant and sequential anogenital Human Papillomavirus infections among Asian young adult females with perinatally acquired HIV compared to HIV-negative peers, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>The length-biased weighted Lindley distribution with applications, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The new Poisson mixed weighted Lindley distribution with applications to insurance claims data, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The new Poisson mixed weighted Lindley distribution with applications to insurance claims data, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Application of logistic regression analysis to household debt of Bangkok and metropolitan area of Thailand, 2563 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>A Study of Parameter Estimation for Robust Regression with Outliers &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>The Sized-Biased Poisson new weighted Lindley Distribution with Application &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2562\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Using a genetic algorithm to generate D-optimal designs for mixture-process variable experiments, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>The construction of robust mixture-process experimental designs via genetic algorithm, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Constructing model robust mixture designs via weighted G-optimality criterion, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e15\u0e31\u0e27\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e1b\u0e23\u0e01\u0e15\u0e34\u0e2b\u0e25\u0e32\u0e22\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e15\u0e31\u0e27\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e1b\u0e23\u0e01\u0e15\u0e34\u0e2b\u0e25\u0e32\u0e22\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Comparison of nonparametric survival estimators for interval-censoring mixed with right-censoring type I: A simulation study, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>The comparison of nonparametric statistical tests for interaction effects in factorial design, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e15\u0e31\u0e27\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c 3 \u0e27\u0e34\u0e18\u0e35 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e14\u0e25\u0e2d\u0e07 2^3 \u0e41\u0e1f\u0e01\u0e17\u0e2d\u0e40\u0e23\u0e35\u0e22\u0e25, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e15\u0e31\u0e27\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c 3 \u0e27\u0e34\u0e18\u0e35 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e14\u0e25\u0e2d\u0e07 2^3 \u0e41\u0e1f\u0e01\u0e17\u0e2d\u0e40\u0e23\u0e35\u0e22\u0e25, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A performance comparison of the multivariate cumulative sum control charts, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%b8\/\">\u0e2a\u0e38\u0e14\u0e32\u0e23\u0e31\u0e15\u0e19\u0e4c \u0e19\u0e34\u0e08\u0e2a\u0e38\u0e19\u0e01\u0e34\u0e08<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e15\u0e31\u0e27\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c 3 \u0e27\u0e34\u0e18\u0e35 \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e14\u0e25\u0e2d\u0e07 2^3 \u0e41\u0e1f\u0e01\u0e17\u0e2d\u0e40\u0e23\u0e35\u0e22\u0e25, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A performance comparison of the multivariate cumulative sum control charts, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e28\u0e36\u0e01\u0e29\u0e32\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e17\u0e35\u0e48\u0e40\u0e2b\u0e21\u0e32\u0e30\u0e2a\u0e21\u0e2a\u0e4d\u0e32\u0e2b\u0e23\u0e31\u0e1a\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e08\u0e4d\u0e32\u0e19\u0e27\u0e19\u0e19\u0e31\u0e01\u0e17\u0e48\u0e2d\u0e07\u0e40\u0e17\u0e35\u0e48\u0e22\u0e27\u0e08\u0e32\u0e01\u0e20\u0e39\u0e21\u0e34\u0e20\u0e32\u0e04\u0e40\u0e2d\u0e40\u0e0a\u0e35\u0e22\u0e43\u0e15\u0e49\u0e17\u0e35\u0e48\u0e40\u0e14\u0e34\u0e19\u0e17\u0e32\u0e07\u0e21\u0e32\u0e17\u0e48\u0e2d\u0e07\u0e40\u0e17\u0e35\u0e48\u0e22\u0e27\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%a7\/\">\u0e2a\u0e27\u0e1e\u0e23 \u0e2b\u0e34\u0e0d\u0e0a\u0e35\u0e23\u0e30\u0e19\u0e31\u0e19\u0e17\u0e19\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e1b\u0e31\u0e08\u0e08\u0e31\u0e22\u0e17\u0e35\u0e48\u0e2a\u0e48\u0e07\u0e1c\u0e25\u0e15\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e25\u0e07\u0e17\u0e38\u0e19\u0e42\u0e14\u0e22\u0e15\u0e23\u0e07\u0e08\u0e32\u0e01\u0e15\u0e48\u0e32\u0e07\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e43\u0e19\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21\u0e22\u0e32\u0e19\u0e22\u0e19\u0e15\u0e4c\u0e02\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%aa%e0%b8%a7\/\">\u0e2a\u0e27\u0e1e\u0e23 \u0e2b\u0e34\u0e0d\u0e0a\u0e35\u0e23\u0e30\u0e19\u0e31\u0e19\u0e17\u0e19\u0e4c<\/a><\/li>\n\n\n\n<li>Role of efavirenz plasma concentrations on long-term HIV suppression and immune restoration in HIV-infected children, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Comparison on confidence intervals for variance of random effect in unbalanced hierarchical model, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Logistic regression model for lapse Analysis of life insurance policy, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Logistic regression model for lapse Analysis of life insurance policy, 2562 &#8211; \u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/li>\n\n\n\n<li>Comparison on confidence intervals for variance of random effect in unbalanced hierarchical model, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Land use change over time in Chaing Mai province, Thailand, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Modelling motorcycle-related head injury trends for Thailand following the 100% motorcycle helmet use campaign using log-linear model, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>An alternative matrix transformation to the F test statistic for clustered data, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Bayesian inference for the negative binomial-Sushila linear model, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Bayesian inference for the negative binomial-Sushila linear model, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Patterns and trends of malaria in 25 risk districts of Nepal from 2001 to 2017, 2562 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2561\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e2a\u0e48\u0e07\u0e2d\u0e2d\u0e01\u0e21\u0e30\u0e21\u0e48\u0e27\u0e07\u0e02\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">\u0e40\u0e2a\u0e32\u0e27\u0e20\u0e32 \u0e0a\u0e31\u0e22\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c<\/a><\/li>\n\n\n\n<li>The zero-inflated negative Binomial-Erlang distribution: an application to highly pathogenic avian influenza H5N1 in Thailand, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e2d\u0e19\u0e38\u0e01\u0e23\u0e21\u0e40\u0e27\u0e25\u0e32\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e21\u0e39\u0e25\u0e04\u0e48\u0e32\u0e2a\u0e34\u0e19\u0e04\u0e49\u0e32\u0e2a\u0e48\u0e07\u0e2d\u0e2d\u0e01\u0e1c\u0e48\u0e32\u0e19\u0e14\u0e48\u0e32\u0e19\u0e1e\u0e23\u0e21\u0e41\u0e14\u0e19\u0e28\u0e38\u0e25\u0e01\u0e32\u0e01\u0e23\u0e44\u0e17\u0e22-\u0e01\u0e31\u0e21\u0e1e\u0e39\u0e0a\u0e32, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Topp-Leone generalized Rayleigh distribution and its applications, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>The discrete weighted exponential distribution and its applications, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The discrete weighted exponential distribution and its applications, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Topp-Leone generalized Rayleigh distribution and its applications, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-sushila distribution: some properties and applications in count data with many zeros, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-sushila distribution: some properties and applications in count data with many zeros, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e40\u0e17\u0e48\u0e32\u0e01\u0e31\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e21\u0e17\u0e23\u0e34\u0e01\u0e0b\u0e4c\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19\u0e23\u0e48\u0e27\u0e21\u0e2a\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e35\u0e48\u0e21\u0e35\u0e21\u0e34\u0e15\u0e34\u0e2a\u0e39\u0e07, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Locally weighted scatter-plot smoothing for analysing temperature changes and patterns in Australia, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e40\u0e17\u0e48\u0e32\u0e01\u0e31\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e21\u0e17\u0e23\u0e34\u0e01\u0e0b\u0e4c\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19\u0e23\u0e48\u0e27\u0e21\u0e2a\u0e2d\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e35\u0e48\u0e21\u0e35\u0e21\u0e34\u0e15\u0e34\u0e2a\u0e39\u0e07, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">\u0e40\u0e2a\u0e32\u0e27\u0e20\u0e32 \u0e0a\u0e31\u0e22\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e10\u0e32\u0e19\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e43\u0e19\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e16\u0e14\u0e16\u0e2d\u0e22 \u0e01\u0e23\u0e13\u0e35\u0e04\u0e27\u0e32\u0e21\u0e04\u0e25\u0e32\u0e14\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19\u0e44\u0e21\u0e48\u0e04\u0e07\u0e17\u0e35\u0e48, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e2a\u0e21\u0e21\u0e15\u0e34\u0e10\u0e32\u0e19\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e43\u0e19\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e16\u0e14\u0e16\u0e2d\u0e22 \u0e01\u0e23\u0e13\u0e35\u0e04\u0e27\u0e32\u0e21\u0e04\u0e25\u0e32\u0e14\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19\u0e44\u0e21\u0e48\u0e04\u0e07\u0e17\u0e35\u0e48, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e01\u0e23\u0e48\u0e07\u0e02\u0e2d\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e1e\u0e2b\u0e38 \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e04\u0e48\u0e32\u0e19\u0e2d\u0e01\u0e40\u0e01\u0e13\u0e11\u0e4c, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e01\u0e23\u0e48\u0e07\u0e02\u0e2d\u0e07\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e1e\u0e2b\u0e38 \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e04\u0e48\u0e32\u0e19\u0e2d\u0e01\u0e40\u0e01\u0e13\u0e11\u0e4c, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Zero truncated negative binomial-beta exponential distribution, 2561 &#8211; \u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/li>\n\n\n\n<li>Zero truncated negative binomial-beta exponential distribution, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Discrete goodness of fit test statistics for the negative binomial\u2013beta exponential distribution, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Discrete goodness of fit test statistics for the negative binomial\u2013beta exponential distribution, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b1%e0%b8%99%e0%b8%97%e0%b8%a3%e0%b9%8c\/\">\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c\u0e18\u0e32 \u0e27\u0e07\u0e29\u0e4c\u0e2d\u0e39\u0e48\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Efficiency comparison of confidence intervals for the difference between two independent binomial proportions, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Population size estimation and sexual predictive model construction of the resident birds in Bueng Boraphet non-hunting area, Nakhon Sawan province, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e33\u0e25\u0e31\u0e07\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e40\u0e17\u0e48\u0e32\u0e01\u0e31\u0e19\u0e02\u0e2d\u0e07\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e33\u0e25\u0e31\u0e07\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e40\u0e17\u0e48\u0e32\u0e01\u0e31\u0e19\u0e02\u0e2d\u0e07\u0e04\u0e27\u0e32\u0e21\u0e41\u0e1b\u0e23\u0e1b\u0e23\u0e27\u0e19, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e0a\u0e48\u0e27\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e31\u0e48\u0e19\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1c\u0e25\u0e15\u0e48\u0e32\u0e07\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e17\u0e27\u0e34\u0e19\u0e32\u0e21\u0e2a\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e17\u0e35\u0e48\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e1e\u0e2b\u0e38\u0e04\u0e39\u0e13\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e04\u0e48\u0e32\u0e19\u0e2d\u0e01\u0e40\u0e01\u0e13\u0e11\u0e4c\u0e43\u0e19\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e15\u0e32\u0e21, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e1e\u0e2b\u0e38\u0e04\u0e39\u0e13\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e04\u0e48\u0e32\u0e19\u0e2d\u0e01\u0e40\u0e01\u0e13\u0e11\u0e4c\u0e43\u0e19\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e15\u0e32\u0e21, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e17\u0e35\u0e48\u0e21\u0e35\u0e01\u0e32\u0e23\u0e2a\u0e39\u0e0d\u0e2b\u0e32\u0e22\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49\u0e2a\u0e32\u0e23\u0e2a\u0e19\u0e40\u0e17\u0e28\u0e02\u0e2d\u0e07\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e2a\u0e31\u0e21\u0e1e\u0e31\u0e19\u0e18\u0e4c\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e43\u0e19\u0e0a\u0e38\u0e14\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e08\u0e33\u0e25\u0e2d\u0e07\u0e23\u0e30\u0e1a\u0e1a\u0e41\u0e16\u0e27\u0e04\u0e2d\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1a\u0e23\u0e34\u0e01\u0e32\u0e23\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e19\u0e2d\u0e01: \u0e01\u0e23\u0e13\u0e35\u0e28\u0e36\u0e01\u0e29\u0e32 \u0e04\u0e25\u0e34\u0e19\u0e34\u0e01\u0e40\u0e1a\u0e32\u0e2b\u0e27\u0e32\u0e19 \u0e41\u0e1c\u0e19\u0e01\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e19\u0e2d\u0e01 \u0e42\u0e23\u0e07\u0e1e\u0e22\u0e32\u0e1a\u0e32\u0e25\u0e2a\u0e21\u0e40\u0e14\u0e47\u0e08\u0e1e\u0e23\u0e30\u0e1e\u0e38\u0e17\u0e18\u0e40\u0e25\u0e34\u0e28\u0e2b\u0e25\u0e49\u0e32, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b5\/\">\u0e08\u0e35\u0e23\u0e32\u0e1e\u0e23 \u0e44\u0e17\u0e22\u0e16\u0e32\u0e19\u0e31\u0e19\u0e14\u0e23\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e08\u0e33\u0e25\u0e2d\u0e07\u0e23\u0e30\u0e1a\u0e1a\u0e41\u0e16\u0e27\u0e04\u0e2d\u0e22\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1a\u0e23\u0e34\u0e01\u0e32\u0e23\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e19\u0e2d\u0e01: \u0e01\u0e23\u0e13\u0e35\u0e28\u0e36\u0e01\u0e29\u0e32 \u0e04\u0e25\u0e34\u0e19\u0e34\u0e01\u0e40\u0e1a\u0e32\u0e2b\u0e27\u0e32\u0e19 \u0e41\u0e1c\u0e19\u0e01\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e19\u0e2d\u0e01 \u0e42\u0e23\u0e07\u0e1e\u0e22\u0e32\u0e1a\u0e32\u0e25\u0e2a\u0e21\u0e40\u0e14\u0e47\u0e08\u0e1e\u0e23\u0e30\u0e1e\u0e38\u0e17\u0e18\u0e40\u0e25\u0e34\u0e28\u0e2b\u0e25\u0e49\u0e32, 2561 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2560\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Re-estimation of supplemented methionine as total sulfur amino acid requirement for commercial male meat-type ducks, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-Sushila distribution and its application, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-Sushila distribution and its application, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e01\u0e23\u0e48\u0e07\u0e02\u0e2d\u0e07\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e2a\u0e2b\u0e2a\u0e31\u0e21\u0e1e\u0e31\u0e19\u0e18\u0e4c\u0e25\u0e33\u0e14\u0e31\u0e1a\u0e17\u0e35\u0e48\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e21\u0e35\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Comparison of the estimators of the intra-cluster correlation for the nested error regression model, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e1e\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e1b\u0e23\u0e01\u0e15\u0e34, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e2a\u0e38\u0e48\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e41\u0e1a\u0e1a\u0e40\u0e1b\u0e47\u0e19\u0e23\u0e30\u0e1a\u0e1a\u0e27\u0e07\u0e01\u0e25\u0e21\u0e41\u0e1a\u0e1a\u0e43\u0e2b\u0e21\u0e48, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e2a\u0e38\u0e48\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e41\u0e1a\u0e1a\u0e40\u0e1b\u0e47\u0e19\u0e23\u0e30\u0e1a\u0e1a\u0e27\u0e07\u0e01\u0e25\u0e21\u0e41\u0e1a\u0e1a\u0e43\u0e2b\u0e21\u0e48, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">\u0e40\u0e2a\u0e32\u0e27\u0e20\u0e32 \u0e0a\u0e31\u0e22\u0e1e\u0e34\u0e17\u0e31\u0e01\u0e29\u0e4c<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e2a\u0e21\u0e01\u0e32\u0e23\u0e42\u0e04\u0e23\u0e07\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e1b\u0e31\u0e08\u0e08\u0e31\u0e22\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e34\u0e17\u0e18\u0e34\u0e1e\u0e25\u0e15\u0e48\u0e2d\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e01\u0e32\u0e23\u0e14\u0e49\u0e32\u0e19\u0e01\u0e32\u0e23\u0e2d\u0e48\u0e32\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e14\u0e47\u0e01\u0e1c\u0e48\u0e32\u0e19\u0e2b\u0e19\u0e31\u0e07\u0e2a\u0e37\u0e2d\u0e1b\u0e10\u0e21\u0e27\u0e31\u0e22, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">\u0e19\u0e34\u0e0a\u0e1e\u0e25 \u0e0a\u0e34\u0e19\u0e1a\u0e31\u0e27\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e2a\u0e21\u0e01\u0e32\u0e23\u0e42\u0e04\u0e23\u0e07\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e1b\u0e31\u0e08\u0e08\u0e31\u0e22\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e34\u0e17\u0e18\u0e34\u0e1e\u0e25\u0e15\u0e48\u0e2d\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e01\u0e32\u0e23\u0e14\u0e49\u0e32\u0e19\u0e01\u0e32\u0e23\u0e2d\u0e48\u0e32\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e14\u0e47\u0e01\u0e1c\u0e48\u0e32\u0e19\u0e2b\u0e19\u0e31\u0e07\u0e2a\u0e37\u0e2d\u0e1b\u0e10\u0e21\u0e27\u0e31\u0e22, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e2a\u0e38\u0e48\u0e21\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e41\u0e1a\u0e1a\u0e40\u0e1b\u0e47\u0e19\u0e23\u0e30\u0e1a\u0e1a\u0e27\u0e07\u0e01\u0e25\u0e21\u0e41\u0e1a\u0e1a\u0e43\u0e2b\u0e21\u0e48, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Learning outcome of programing skill: case study of undergrad students in rapid application development course, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Development of specific activity of amylolytic and proteolytic enzymes in duodenum and jejunum of the small intestinal tract of meat-type ducks during 1-42 days of age, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">\u0e1a\u0e38\u0e0d\u0e2d\u0e49\u0e2d\u0e21 \u0e42\u0e09\u0e21\u0e17\u0e35<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e2a\u0e21\u0e01\u0e32\u0e23\u0e42\u0e04\u0e23\u0e07\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e1b\u0e31\u0e08\u0e08\u0e31\u0e22\u0e17\u0e35\u0e48\u0e21\u0e35\u0e2d\u0e34\u0e17\u0e18\u0e34\u0e1e\u0e25\u0e15\u0e48\u0e2d\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e01\u0e32\u0e23\u0e14\u0e49\u0e32\u0e19\u0e01\u0e32\u0e23\u0e2d\u0e48\u0e32\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e14\u0e47\u0e01\u0e1c\u0e48\u0e32\u0e19\u0e2b\u0e19\u0e31\u0e07\u0e2a\u0e37\u0e2d\u0e1b\u0e10\u0e21\u0e27\u0e31\u0e22, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Comparison of temperatures between bureau of meteorology and moderate resolution imaging spectroradiometer, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>On modeling transport accident deaths in Thailand based on Poisson distributions, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>A study of temperature changes and patterns in Australia based on cluster analysis, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Sensitivity Comparison of Quality Control Charts for Process Mean Shift Detection when the Data are Normally Distributed &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Robustness Comparison of Correlation Coefficient for Data Contain Outliers &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Short communication: impact of viral load use on treatment switch in perinatally HIV-infected children in Asia, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n\n\n\n<li>Comparison of temperatures between bureau of meteorology and moderate resolution imaging spectroradiometer, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>On modeling transport accident deaths in Thailand based on Poisson distributions, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>A study of temperature changes and patterns in Australia based on cluster analysis, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">\u0e27\u0e31\u0e19\u0e14\u0e35 \u0e27\u0e13\u0e34\u0e0a\u0e22\u0e4c\u0e28\u0e31\u0e01\u0e14\u0e34\u0e4c\u0e1e\u0e07\u0e28\u0e4c<\/a><\/li>\n\n\n\n<li>Sensitivity Comparison of Quality Control Charts for Process Mean Shift Detection when the Data are Normally Distributed &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Robustness Comparison of Correlation Coefficient for Data Contain Outliers &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>Short communication: impact of viral load use on treatment switch in perinatally HIV-infected children in Asia, 2560 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a8%e0%b8%b4\/\">\u0e28\u0e34\u0e23\u0e34\u0e0d\u0e0d\u0e32 \u0e18\u0e35\u0e23\u0e30\u0e2d\u0e19\u0e31\u0e19\u0e15\u0e4c\u0e0a\u0e31\u0e22<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2559\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Robust estimators for the correlation measure to resist outliers in data, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>A covariance matrix test for high-dimensional data, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">Saowapa Chaipitak<\/a><\/li>\n\n\n\n<li>Clustering and forecasting maximum temperature of Australia, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b1\/\">Wandee Wanishsakpong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e14\u0e49\u0e27\u0e22\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1a\u0e22\u0e4c\u0e40\u0e0b\u0e35\u0e22\u0e19 \u0e27\u0e34\u0e18\u0e35\u0e01\u0e33\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e19\u0e49\u0e2d\u0e22\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14 \u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e1a\u0e39\u0e15\u0e2a\u0e41\u0e15\u0e23\u0e1b\u0e41\u0e1a\u0e1a\u0e43\u0e0a\u0e49\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">Nichapon Chinbuatong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e14\u0e49\u0e27\u0e22\u0e27\u0e34\u0e18\u0e35\u0e40\u0e1a\u0e22\u0e4c\u0e40\u0e0b\u0e35\u0e22\u0e19 \u0e27\u0e34\u0e18\u0e35\u0e01\u0e33\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e19\u0e49\u0e2d\u0e22\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14 \u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e1a\u0e39\u0e15\u0e2a\u0e41\u0e15\u0e23\u0e1b\u0e41\u0e1a\u0e1a\u0e43\u0e0a\u0e49\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c \u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22 \u0e14\u0e49\u0e27\u0e22\u0e27\u0e34\u0e18\u0e35\u0e17\u0e35\u0e25 \u0e27\u0e34\u0e18\u0e35\u0e04\u0e27\u0e2d\u0e19\u0e44\u0e17\u0e25\u0e4c \u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e01\u0e33\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e19\u0e49\u0e2d\u0e22\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14 \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e43\u0e19\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e41\u0e25\u0e30\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e15\u0e32\u0e21\u0e21\u0e35\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">Lily Ingsrisawang<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c\u0e01\u0e32\u0e23\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e40\u0e0a\u0e34\u0e07\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22 \u0e14\u0e49\u0e27\u0e22\u0e27\u0e34\u0e18\u0e35\u0e17\u0e35\u0e25 \u0e27\u0e34\u0e18\u0e35\u0e04\u0e27\u0e2d\u0e19\u0e44\u0e17\u0e25\u0e4c \u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e01\u0e33\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e19\u0e49\u0e2d\u0e22\u0e17\u0e35\u0e48\u0e2a\u0e38\u0e14 \u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e43\u0e19\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e41\u0e25\u0e30\u0e15\u0e31\u0e27\u0e41\u0e1b\u0e23\u0e15\u0e32\u0e21\u0e21\u0e35\u0e04\u0e48\u0e32\u0e1c\u0e34\u0e14\u0e1b\u0e01\u0e15\u0e34, 2559 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2558\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>A new mixed beta distribution and structural properties with applications &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Bayesian adaptive randomization designs for clinical trial &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Modeling of In-Utero and Intra-Partum Transmissions to Evaluate the Efficacy of Interventions for the Prevention of Perinatal HIV &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Bayesian monitoring for experimental study in women with abnormal uterine bleeding &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Contribution of different antiretroviral regimens containing zidovudine, lamivudine and ritonavir-boosted lopinavir on HIV viral load reduction during pregnancy &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Efavirenz Concentrations and probability of HIV Replication in Children &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e19\u0e49\u0e33\u0e21\u0e31\u0e19\u0e14\u0e34\u0e1a\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e19\u0e49\u0e33\u0e21\u0e31\u0e19\u0e14\u0e34\u0e1a\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22 &#8211; \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c \u0e1e\u0e22\u0e31\u0e04\u0e06\u0e1e\u0e07\u0e29\u0e4c<\/li>\n\n\n\n<li>Forecasting the Price of Rubber in the Agricultural Futures Exchange of Thailand 2556 &#8211; \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c \u0e1e\u0e22\u0e31\u0e04\u0e06\u0e1e\u0e07\u0e29\u0e4c<\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e1e\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e1e\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>\u0e04\u0e27\u0e32\u0e21\u0e41\u0e01\u0e23\u0e48\u0e07\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e1e\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e41\u0e1a\u0e1a\u0e41\u0e01\u0e21\u0e21\u0e32 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>Confidence Interval Estimations of the Parameter for One Parameter Exponential Distribution &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e27\u0e34\u0e18\u0e35\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e40\u0e1a\u0e22\u0e4c\u0e40\u0e0b\u0e35\u0e22\u0e19\u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e43\u0e2b\u0e49\u0e40\u0e23\u0e35\u0e22\u0e1a\u0e41\u0e1a\u0e1a\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1b\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e23\u0e32\u0e04\u0e32\u0e2b\u0e38\u0e49\u0e19\u0e01\u0e25\u0e38\u0e48\u0e21\u0e2d\u0e2a\u0e31\u0e07\u0e2b\u0e32\u0e23\u0e34\u0e21\u0e17\u0e23\u0e31\u0e1e\u0e22\u0e4c\u0e41\u0e25\u0e30\u0e01\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e04\u0e48\u0e32\u0e41\u0e1a\u0e1a\u0e0a\u0e48\u0e27\u0e07\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e02\u0e19\u0e32\u0e14\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e41\u0e08\u0e01\u0e41\u0e08\u0e07\u0e44\u0e27\u0e1a\u0e39\u0e25\u0e25\u0e4c\u0e41\u0e1a\u0e1a\u0e2a\u0e2d\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e28\u0e36\u0e01\u0e29\u0e32\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1e\u0e37\u0e49\u0e19\u0e1c\u0e34\u0e27\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e33\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e40\u0e15\u0e47\u0e21\u0e41\u0e25\u0e30\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e25\u0e14\u0e23\u0e39\u0e1b\u0e43\u0e19\u0e02\u0e2d\u0e1a\u0e40\u0e02\u0e15\u0e17\u0e23\u0e07\u0e01\u0e25\u0e21 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e28\u0e36\u0e01\u0e29\u0e32\u0e41\u0e1c\u0e19\u0e41\u0e1a\u0e1a\u0e1e\u0e37\u0e49\u0e19\u0e1c\u0e34\u0e27\u0e15\u0e2d\u0e1a\u0e2a\u0e19\u0e2d\u0e07\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e01\u0e33\u0e25\u0e31\u0e07\u0e2a\u0e2d\u0e07\u0e40\u0e15\u0e47\u0e21\u0e41\u0e25\u0e30\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e25\u0e14\u0e23\u0e39\u0e1b\u0e43\u0e19\u0e02\u0e2d\u0e1a\u0e40\u0e02\u0e15\u0e17\u0e23\u0e07\u0e01\u0e25\u0e21 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">Ampai Thongteeraparp<\/a><\/li>\n\n\n\n<li>Comparison of Five Design Variables of Response Surface Designs in a Spherical Region over a Set of Rduced Models &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>The zero inflated negative binomial \u2013 crack distribution: some properties and parameter estimation, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">Ampai Thongteeraparp<\/a><\/li>\n\n\n\n<li>The zero inflated negative binomial \u2013 crack distribution: some properties and parameter estimation, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">Winai Bodhisuwan<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e17\u0e35\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e19\u0e32\u0e14\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e25\u0e47\u0e01, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2a\u0e16\u0e34\u0e15\u0e34\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e44\u0e21\u0e48\u0e2d\u0e34\u0e07\u0e1e\u0e32\u0e23\u0e32\u0e21\u0e34\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e17\u0e14\u0e2a\u0e2d\u0e1a\u0e04\u0e27\u0e32\u0e21\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e17\u0e35\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e02\u0e19\u0e32\u0e14\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e25\u0e47\u0e01, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">Nichapon Chinbuatong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e08\u0e33\u0e19\u0e27\u0e19\u0e23\u0e2d\u0e22\u0e15\u0e33\u0e2b\u0e19\u0e34, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e08\u0e33\u0e19\u0e27\u0e19\u0e23\u0e2d\u0e22\u0e15\u0e33\u0e2b\u0e19\u0e34, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>Two-sample tests for high-dimensional repeated measures designs with unequal variances, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">Saowapa Chaipitak<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e19\u0e49\u0e33\u0e21\u0e31\u0e19\u0e14\u0e34\u0e1a\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e15\u0e31\u0e27\u0e41\u0e1a\u0e1a\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e1b\u0e23\u0e34\u0e21\u0e32\u0e13\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15\u0e19\u0e49\u0e33\u0e21\u0e31\u0e19\u0e14\u0e34\u0e1a\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">Nichapon Chinbuatong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e0a\u0e48\u0e27\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e31\u0e48\u0e19\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1c\u0e25\u0e15\u0e48\u0e32\u0e07\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e17\u0e35\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e1e\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e15\u0e23\u0e27\u0e08\u0e1e\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e04\u0e48\u0e32\u0e40\u0e09\u0e25\u0e35\u0e48\u0e22\u0e02\u0e2d\u0e07\u0e01\u0e23\u0e30\u0e1a\u0e27\u0e19\u0e01\u0e32\u0e23, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e27\u0e34\u0e18\u0e35\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e40\u0e1a\u0e22\u0e4c\u0e40\u0e0b\u0e35\u0e22\u0e19\u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e43\u0e2b\u0e49\u0e40\u0e23\u0e35\u0e22\u0e1a\u0e41\u0e1a\u0e1a\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1b\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e23\u0e32\u0e04\u0e32\u0e2b\u0e38\u0e49\u0e19\u0e01\u0e25\u0e38\u0e48\u0e21\u0e2d\u0e2a\u0e31\u0e07\u0e2b\u0e32\u0e23\u0e34\u0e21\u0e17\u0e23\u0e31\u0e1e\u0e22\u0e4c\u0e41\u0e25\u0e30\u0e01\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e32\u0e13\u0e0a\u0e48\u0e27\u0e07\u0e04\u0e27\u0e32\u0e21\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e21\u0e31\u0e48\u0e19\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e1c\u0e25\u0e15\u0e48\u0e32\u0e07\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e01\u0e23\u0e2a\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e17\u0e35\u0e48\u0e40\u0e1b\u0e47\u0e19\u0e2d\u0e34\u0e2a\u0e23\u0e30\u0e01\u0e31\u0e19\u0e40\u0e21\u0e37\u0e48\u0e2d\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e02\u0e19\u0e32\u0e14\u0e40\u0e25\u0e47\u0e01, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">Nichapon Chinbuatong<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e27\u0e34\u0e18\u0e35\u0e40\u0e04\u0e23\u0e37\u0e2d\u0e02\u0e48\u0e32\u0e22\u0e40\u0e1a\u0e22\u0e4c\u0e40\u0e0b\u0e35\u0e22\u0e19\u0e41\u0e25\u0e30\u0e27\u0e34\u0e18\u0e35\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e31\u0e1a\u0e43\u0e2b\u0e49\u0e40\u0e23\u0e35\u0e22\u0e1a\u0e41\u0e1a\u0e1a\u0e40\u0e2d\u0e47\u0e01\u0e0b\u0e4c\u0e42\u0e1b\u0e40\u0e19\u0e19\u0e40\u0e0a\u0e35\u0e22\u0e25\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e14\u0e31\u0e0a\u0e19\u0e35\u0e23\u0e32\u0e04\u0e32\u0e2b\u0e38\u0e49\u0e19\u0e01\u0e25\u0e38\u0e48\u0e21\u0e2d\u0e2a\u0e31\u0e07\u0e2b\u0e32\u0e23\u0e34\u0e21\u0e17\u0e23\u0e31\u0e1e\u0e22\u0e4c\u0e41\u0e25\u0e30\u0e01\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e43\u0e19\u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22, 2558 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%99%e0%b8%b4%e0%b8%8a%e0%b8%9e%e0%b8%a5-%e0%b8%8a%e0%b8%b4%e0%b8%99%e0%b8%9a%e0%b8%b1%e0%b8%a7%e0%b8%97%e0%b8%ad%e0%b8%87\/\">Nichapon Chinbuatong<\/a><\/li>\n\n\n\n<li>The effect of the 100% motorcycle helmet use campaign on motorcyclist head injuries in Thailand, 2558 &#8211; M. Patummasut<\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2557\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>A new family of generalized gamma distribution and its application &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-generalized exponential distribution and its applications &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The negative binomial-erlang distribution with applications &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-generalized exponential distribution and its applications &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>The length-biased exponentiated inverted weibull distribution &#8211; \u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/li>\n\n\n\n<li>The length-biased exponentiated inverted weibull distribution &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Parameter Estimation of Fuzzy Linear Regression Model: The Extension of Chen and Hsueh Method &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Parameter Estimation of Fuzzy Linear Regression Model: The Extension of Chen and Hsueh Method &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Replacing wheat flour with taro and replacing fat with inulin in chiffon cake &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Effect of Sugar Substitutes Sucralose and Maltitol on Sensory, Physical and Chemical Characteristics of Sherbet Ice Cream &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Effects of butterfly pea extract and flower petals on sensory, physical, chemical and microbiological characteristics of sugar-free ice cream &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>The negative binomial-Erlang distribution with applications<\/li>\n\n\n\n<li>Approximation to Hypergeometric Distribution with Modified Binomial Distributions &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>Krawtchouk\u2019s Polynomial for Hypergeometric Distribution Approximation &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n\n\n\n<li>\u0e04\u0e27\u0e32\u0e21\u0e23\u0e39\u0e49\u0e40\u0e01\u0e35\u0e48\u0e22\u0e27\u0e01\u0e31\u0e1a\u0e42\u0e20\u0e0a\u0e19\u0e32\u0e01\u0e32\u0e23\u0e41\u0e25\u0e30\u0e1e\u0e24\u0e15\u0e34\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e2d\u0e32\u0e2b\u0e32\u0e23\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e40\u0e14\u0e47\u0e01\u0e27\u0e31\u0e22\u0e01\u0e48\u0e2d\u0e19\u0e40\u0e23\u0e35\u0e22\u0e19\u0e02\u0e2d\u0e07\u0e1c\u0e39\u0e49\u0e1b\u0e01\u0e04\u0e23\u0e2d\u0e07\u0e42\u0e23\u0e07\u0e40\u0e23\u0e35\u0e22\u0e19\u0e23\u0e31\u0e10\u0e1a\u0e32\u0e25 \u0e08\u0e31\u0e07\u0e2b\u0e27\u0e31\u0e14\u0e0a\u0e38\u0e21\u0e1e\u0e23 &#8211; &nbsp;\u0e2d\u0e20\u0e34\u0e0d\u0e0d\u0e32 \u0e2b\u0e34\u0e23\u0e31\u0e0d\u0e27\u0e07\u0e29\u0e4c<\/li>\n\n\n\n<li>\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e0a\u0e35\u0e27\u0e34\u0e15 \u0e41\u0e25\u0e30\u0e01\u0e32\u0e23\u0e40\u0e15\u0e23\u0e35\u0e22\u0e21\u0e04\u0e27\u0e32\u0e21\u0e1e\u0e23\u0e49\u0e2d\u0e21\u0e01\u0e48\u0e2d\u0e19\u0e01\u0e32\u0e23\u0e40\u0e01\u0e29\u0e35\u0e22\u0e13\u0e2d\u0e32\u0e22\u0e38\u0e02\u0e2d\u0e07\u0e02\u0e49\u0e32\u0e23\u0e32\u0e0a\u0e01\u0e32\u0e23\u0e04\u0e23\u0e39 \u0e08\u0e31\u0e07\u0e2b\u0e27\u0e31\u0e14\u0e0a\u0e25\u0e1a\u0e38\u0e23\u0e35 &#8211; \u0e2d\u0e20\u0e34\u0e0d\u0e0d\u0e32 \u0e2b\u0e34\u0e23\u0e31\u0e0d\u0e27\u0e07\u0e29\u0e4c<\/li>\n\n\n\n<li>Using a Genetic Algorithm to Generate D-optimal Designs for Mixture Experiments. Quality and Reliability Engineering International &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>Adaptive cluster sampling with spatially clustered secondary units, 2557 &#8211;<\/li>\n\n\n\n<li>The length-biased exponentiated inverted weibull distribution, 2557 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">Winai Bodhisuwan<\/a><\/li>\n\n\n\n<li>The length-biased exponentiated inverted weibull distribution, 2557 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2556\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>Comparison of the generalized least squares F-test for the nested error regression model &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>Length biased beta-Pareto distribution and its structural properties with application &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>A mixture of weibull hazard rate with a power variance function frailty &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>The negative binomial-generalized exponential (NB-GE) distribution &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Negative binomial-crack (NB-CR) distribution &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>A Mixture of Weibull Hazard Rate with a Power Variance Function Frailty &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>Generalized Linear Mixed Models with Spatial Random Effects for Spatio-Temporal Data: An Application to Dengue Fever Mapping &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Natural history, outcome, and sustainability of treatment response in chronic viral hepatitis B &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Disease prioritization for inclusion into Thailand\u2019s population-based screening benefit package &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>Evaluation of the Implementation of the Health Promotion Plan for Elders and Disables &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a5%e0%b8%b5%e0%b9%88%e0%b8%a5%e0%b8%b5\/\">\u0e25\u0e35\u0e48\u0e25\u0e35 \u0e2d\u0e34\u0e07\u0e28\u0e23\u0e35\u0e2a\u0e27\u0e48\u0e32\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e22\u0e38\u0e01\u0e15\u0e4c\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04\u0e01\u0e32\u0e23\u0e23\u0e31\u0e1a\u0e23\u0e39\u0e49\u0e08\u0e32\u0e01\u0e23\u0e30\u0e22\u0e30\u0e44\u0e01\u0e25\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e2b\u0e32\u0e1e\u0e37\u0e49\u0e19\u0e17\u0e35\u0e48\u0e23\u0e2d\u0e22\u0e15\u0e48\u0e2d\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e1b\u0e48\u0e32\u0e43\u0e19\u0e40\u0e02\u0e15\u0e2d\u0e38\u0e17\u0e22\u0e32\u0e19\u0e41\u0e2b\u0e48\u0e07\u0e0a\u0e32\u0e15\u0e34\u0e20\u0e39\u0e40\u0e23\u0e37\u0e2d 2556<\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e08\u0e33\u0e25\u0e2d\u0e07\u0e23\u0e30\u0e1a\u0e1a\u0e41\u0e16\u0e27\u0e04\u0e2d\u0e22\u0e41\u0e1c\u0e19\u0e01\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e19\u0e2d\u0e01 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">\u0e18\u0e34\u0e14\u0e32\u0e1e\u0e23 \u0e28\u0e38\u0e20\u0e20\u0e32\u0e01\u0e23<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e08\u0e33\u0e25\u0e2d\u0e07\u0e23\u0e30\u0e1a\u0e1a\u0e41\u0e16\u0e27\u0e04\u0e2d\u0e22\u0e41\u0e1c\u0e19\u0e01\u0e1c\u0e39\u0e49\u0e1b\u0e48\u0e27\u0e22\u0e19\u0e2d\u0e01 &#8211; \u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e4c \u0e1e\u0e22\u0e31\u0e04\u0e06\u0e1e\u0e07\u0e29\u0e4c<\/li>\n\n\n\n<li>Bias Correction in Estimation of the Population Correlation Coefficient &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">\u0e08\u0e38\u0e11\u0e32\u0e20\u0e23\u0e13\u0e4c \u0e2a\u0e34\u0e19\u0e2a\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e17\u0e2d\u0e07<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e16\u0e14\u0e16\u0e2d\u0e22\u0e42\u0e25\u0e08\u0e34\u0e2a\u0e15\u0e34\u0e01\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e1e\u0e22\u0e32\u0e01\u0e23\u0e13\u0e4c\u0e01\u0e32\u0e23\u0e1e\u0e1a\u0e40\u0e0a\u0e37\u0e49\u0e2d\u0e0b\u0e32\u0e25\u0e42\u0e21\u0e40\u0e19\u0e25\u0e25\u0e48\u0e32\u0e40\u0e2d\u0e19\u0e40\u0e17\u0e2d\u0e23\u0e34\u0e01\u0e32\u0e43\u0e19\u0e2a\u0e38\u0e01\u0e23 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%9a%e0%b8%b8%e0%b8%8d%e0%b8%ad%e0%b9%89%e0%b8%ad\/\">Boonorm Chomtee<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e2a\u0e35\u0e22, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e2a\u0e31\u0e14\u0e2a\u0e48\u0e27\u0e19\u0e02\u0e2d\u0e07\u0e40\u0e2a\u0e35\u0e22, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-genaralized exponential distribution and its applications, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%98%e0%b8%b4\/\">Thidaporn Supapakorn<\/a><\/li>\n\n\n\n<li>Zero inflated negative binomial-genaralized exponential distribution and its applications, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">Winai Bodhisuwan<\/a><\/li>\n\n\n\n<li>The distribution of a consistent estimator of the traces ratio of two population covariance matrices, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">Saowapa Chaipitak<\/a><\/li>\n\n\n\n<li>A test for testing the equality of two covariance matrices for high-dimensional data, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%9c%e0%b8%b9%e0%b9%89%e0%b8%8a%e0%b9%88%e0%b8%a7%e0%b8%a2%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b9%80%e0%b8%aa\/\">Saowapa Chaipitak<\/a><\/li>\n\n\n\n<li>Bias correction in estimation of the population correlation coefficient, 2556 &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%88%e0%b8%b8%e0%b8%91%e0%b8%b2%e0%b8%a0%e0%b8%a3\/\">Juthaphorn Sinsomboonthong<\/a><\/li>\n<\/ul>\n\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n<div class=\"wrap-accordion w-full\">\n\t<div class=\"accordion-custom accordion mb-4 rounded-xl border-solid border border-primary border-opacity-30 overflow-hidden\">\n\t\t<div class=\"accordion-head flex justify-between items-center gap-4 px-7 py-5 cursor-pointer relative bg-white\">\n\t\t\t<span class=\"font-bold\">\n\t\t\t\t2555\t\t\t<\/span>\n\t\t\t<span class=\"accordion-icon\">\n\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"30\" height=\"18\" viewBox=\"0 0 30 18\" fill=\"none\">\n\t\t\t\t\t<path d=\"M28 2L15 15L2 2\" stroke=\"black\" stroke-width=\"3\" \/>\n\t\t\t\t<\/svg>\n\t\t\t<\/span>\n\t\t\t<div class=\"line-head absolute w-full h-[1px] bg-primary bottom-0 left-0 right-0\"><\/div>\n\t\t<\/div>\n\t\t<div class=\"accordion-content bg-white\" style=\"display:none;\">\n\t\t\t<div class=\"px-3 pt-3 pb-3 lg:px-7 lg:pt-7 lg:pb-10\">\n\t\t\t\t<div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>A new mixed negative binomial distribution &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>A Bayesian Inference of Non-Life Insurance Based on Claim Counting Process with Periodic Claim Intensity &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>A Statistical Analysis of Intensities Estimation on the Modeling of Non-Life Insurance Claim Counting Process &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%a7%e0%b8%b4%e0%b8%99%e0%b8%b1%e0%b8%a2\/\">\u0e27\u0e34\u0e19\u0e31\u0e22 \u0e42\u0e1e\u0e18\u0e34\u0e4c\u0e2a\u0e38\u0e27\u0e23\u0e23\u0e13\u0e4c<\/a><\/li>\n\n\n\n<li>Inference on the Standard Skew- Distribution &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>A Bayesian Inference of Non-Life Insurance Based on Claim Counting Process with Periodic Claim Intensity &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>A Statistical Analysis of Intensities Estimation on the Modeling of Non-Life Insurance Claim Counting Process &#8211; <a href=\"https:\/\/1dddev.com\/statsci\/ku-personnel\/%e0%b8%a3%e0%b8%ad%e0%b8%87%e0%b8%a8%e0%b8%b2%e0%b8%aa%e0%b8%95%e0%b8%a3%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%94%e0%b8%a3-%e0%b8%ad%e0%b8%b3%e0%b9%84%e0%b8%9e-%e0%b8%97\/\">\u0e2d\u0e33\u0e44\u0e1e \u0e17\u0e2d\u0e07\u0e18\u0e35\u0e23\u0e20\u0e32\u0e1e<\/a><\/li>\n\n\n\n<li>A Model for Prediction of Efficiency of Induced Draft Counterflow Cooling Tower Using Generalized Estimating Equation. &#8211; 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