淡江大學機構典藏:Item 987654321/69184
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    题名: Discussion on Skew-normal Approximation of a Binomial Distribution
    作者: Chang, Ching-hui;Lin, Jyh-jiuan;Pal, Nabendu;Chiang, Miao-chen
    贡献者: 淡江大學統計學系
    关键词: Central Limit Theorem;cumulative distribution function (cdf);skew parameter
    日期: 2008-10
    上传时间: 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
    显示于类别:[統計學系暨研究所] 期刊論文

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