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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/64964


    Title: On Sample Size in Using Central Limit Theorem for Gamma Distribution
    Authors: Chang, Horng-jinh;Wu, Chao-hsien, Ho, Jow-fei;Chen, Po-yu
    Contributors: 淡江大學經營決策學系
    Keywords: Central Limit Theorem;Sample Size;Sample Mean;Gamma Distribution;Shapiro-Wilk W Test;Normality Test
    Date: 2008-03
    Issue Date: 2011-10-20 16:14:18 (UTC+8)
    Publisher: Taipei : Graduate Institute of Management Science, Tamkang University
    Abstract: 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.
    Relation: International Journal of Information and Management Sciences 19(1), pp.153-174
    Appears in Collections:[Department of Management Sciences] Journal Article

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