頁籤選單縮合
題名 | On Sample Size in Using Central Limit Theorem for Gamma Distribution= |
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作者 | Chang, Horng-jinh; Wu, Chao-hsien; Ho, Jow-fei; Chen, Po-yu; |
期刊 | International Journal of Information and Management Sciences |
出版日期 | 20080300 |
卷期 | 19:1 2008.03[民97.03] |
頁次 | 頁153-174 |
分類號 | 319 |
語文 | eng |
關鍵詞 | Central limit theorem; Sample size; Sample mean; Gamma distribution; Shapiro-Wilk W test; Normality test; |
英文摘要 | A general criterion in using the central limit theorem is based on the sample size n≥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. |
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