On Sample Size in Using Central Limit Theorem for Gamma Distribution

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題名:	On Sample Size in Using Central Limit Theorem for Gamma Distribution
作者:	Chang, Horng-jinh;Wu, Chao-hsien, Ho, Jow-fei;Chen, Po-yu
貢獻者:	淡江大學經營決策學系
關鍵詞:	Central Limit Theorem;Sample Size;Sample Mean;Gamma Distribution;Shapiro-Wilk W Test;Normality Test
日期:	2008-03
上傳時間:	2011-10-20 16:14:18 (UTC+8)
出版者:	Taipei : Graduate Institute of Management Science, Tamkang University
摘要:	A general criterion in using the central limit theorem is based on the sample size $n\ge 30$, no matter what the population is. Such only one generalized criterion may not be suitable for various shapes of probability distributions. This study is to check gamma distribution, one of asymmetric continuous distributions, how fit that criterion by computer simulation techniques, and finds out the least required sample sizes that satisfy the central limit theorem under different parameters of the gamma distribution.
關聯:	International Journal of Information and Management Sciences 19(1), pp.153-174
顯示於類別:	[管理科學學系暨研究所] 期刊論文

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