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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69184


    Title: Discussion on Skew-normal Approximation of a Binomial Distribution
    Authors: Chang, Ching-hui;Lin, Jyh-jiuan;Pal, Nabendu;Chiang, Miao-chen
    Contributors: 淡江大學統計學系
    Keywords: Central Limit Theorem;cumulative distribution function (cdf);skew parameter
    Date: 2008-10
    Issue Date: 2011-10-23 16:31:54 (UTC+8)
    Publisher: InterStat
    Abstract: 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.
    Relation: InterStat
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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