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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69184

    題名: Discussion on Skew-normal Approximation of a Binomial Distribution
    作者: Chang, Ching-hui;Lin, Jyh-jiuan;Pal, Nabendu;Chiang, Miao-chen
    貢獻者: 淡江大學統計學系
    關鍵詞: Central Limit Theorem;cumulative distribution function (cdf);skew parameter
    日期: 2008-10
    上傳時間: 2011-10-23 16:31:54 (UTC+8)
    出版者: InterStat
    摘要: Approximating a binomial distribution by a suitable normal distribution is a well known practice, and widely discussed in introductory level statistics books. Recently it has been shown (in Chang et al. (2008)) that the skew-normal distributions can provide a far better approximation than the normal ones. This article revisits the approximation issue and other related inferential aspects. Though we are restricting ourselves here to binomial distribution only, our investigation shows that the same patterns hold good for Poisson, negative binomial and hypergeometric distributions as well.
    關聯: InterStat
    顯示於類別:[統計學系暨研究所] 期刊論文


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