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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/20662

    Title: A Note on Improved Approximation of the Binomial Distribution by the Skew-normal Distribution
    Authors: Chang, Ching-hui;林志娟;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: 2008-05
    Issue Date: 2010-08-10 10:27:14 (UTC+8)
    Publisher: American Statistical Association
    Abstract: It is a common practice to approximate a binomial distribution by a suitable normal distribution when n, the number of trials, is moderately large. But when p, the probability of success, is not close to 0.5, the binomial distribution can be heavily skewed, and hence the usual normal approximation may not be a good idea. In this note we show that the skew-normal distribution can provide a far better approximation due to its flexibility, and it can be used to approximate distributions other than the binomial one.
    Relation: American Statistician 62(2), pp.167-170
    DOI: 10.1198/000313008X305359
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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