 ผลงานตีพิมพ์ในวารสารวิชาการNew racemosol derivatives as potent cyclooxygenase (COX) inhibitorsผู้แต่ง: Songarsa, S, Rajviroongit, S, Sae-Tang, D,  Dr.Supa Hannongbua, Professor , Kirtikara, K, Kittakoop, P, วารสาร: 
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ผลงานตีพิมพ์ในวารสารวิชาการSynthesis pf Novel 2-(2-cyclohexyl) Substituted 1-Naphthol Derivatives with Anticycloxygenase Activity.ผู้แต่ง:Dr.Ngampong Kongkathip, Emeritus Professor , Hasitapan Komkrit, Pradidphol, Narathip, Kirtikara, Kanyawim, Jongkon, Nipa, Dr.Boonsong Kongkathip, Emeritus Professor , วารสาร: |
 ที่มา:Current Medicinal Chemistryหัวเรื่อง:Synthesis of novel 2-(2 '-cyclopentyl)- and 2-(2 '-cyclohexyl) substituted 1-naphthol derivatives with anticyclooxygenase activity |
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ผลงานตีพิมพ์ในวารสารวิชาการGenome assembly with in vitro proximity ligation data and whole-genome triplication in lettuceผู้แต่ง:Sebastian Reyes-Chin-Wo, Zhiwen Wang, Xinhua Yang, Alexander Kozik, Mr.Siwaret Arikit, Associate Professor, Chi Song, Liangfeng Xia, Lutz Froenicke, Dean O. Lavelle, Mar?a-Jos? Truco, Rui Xia, Shilin Zhu, Chunyan Xu, Huaqin Xu, Kyle Cox, Ian Korf, Blake C. Meyers, Richard W. Michelmore, วารสาร:  |
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ผลงานตีพิมพ์ในวารสารวิชาการSelection response for Streptococcus agalactiae resistance in Nile tilapia Oreochromis niloticusผู้แต่ง:Suebsong, W., Dr.Supawadee Poompuang, Professor , Dr.Prapansak Srisapoome, Associate Professor , Dr.Skorn Koonawootrittriron, Associate Professor , Luengnaruemitchai, A., Johansen, H., Rye, M., วารสาร: |
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 หัวเรื่อง:ไม่มีชื่อไทย (ชื่ออังกฤษ : Comparison of Four Data Transformation Methods for Weibull Distributed Data) ผู้เขียน:Thunyaporn Chortirat, ดร.บุญอ้อม โฉมที, รองศาสตราจารย์ , จุฑาภรณ์ สินสมบูรณ์ทอง สื่อสิ่งพิมพ์:pdf AbstractThe objective of this research was to compare four data transformation methods: the error function transformation, the dual power transformation, the exponential transformation of Manly, and the Box-Cox transformation. The criterion used for the study was the ratio of the percentage of acceptances of the null hypothesis H0 to the data having a normal distribution, after the four data transformation methods were applied to Weibull distributed data. The approaches were evaluated using both real and simulated data. For the simulated data, Weibull distributed datasets were generated for skewness and kurtosis levels using MATLAB version 7.0 with three levels of sample size (n): small (10, 30), medium (50, 70) and large (100, 120). Each situation was repeated 500 times and the significance level was set at 0.05. The results consisted of two parts: part I presented the simulated data and part II the real data. With the simulated data with right-skew distribution, and n=10, for skewness (0.3, 0.6], the Box-Cox and exponential transformation methods were the best methods, for skewness (0.6, 1.2], the Box-Cox method was the best and for skewness (1.2, 2.1], the Box-Cox and exponential transformation methods were the best methods. When n=30, 50, 70, 100 and 120, the Box-Cox method was the best. When the data had left-skew distribution, for small and medium sample sizes, the exponential transformation method was the best method for almost all situations. However, for a large sample size, the Box-Cox method was generally the best method. For the real data, the P-values and the histogram of the empirical data were presented. It was also found that the best transformation method was the Box-Cox method. |
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