English  |  正體中文  |  简体中文  |  Items with full text/Total items : 63998/96745 (66%)
Visitors : 3659797      Online Users : 136
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML35View/Open
    On Sample Size in Using Central Limit Theorem for Gamma Distribution.pdf1619KbAdobe PDF196View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback