出版日期：2008-10-01 00:00:00

著者：Chang, Ching-hui; Lin, Jyh-jiuan; Pal, Nabendu; Chiang, Miao-chen

單位：淡江大學統計學系

出版者：InterStat

著錄名稱、卷期、頁數：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.

關鍵字：Central Limit Theorem;cumulative distribution function (cdf);skew parameter

語言：en_US

ISSN：1941-689X

期刊性質：國外

審稿制度：否

國別：USA

出版型式：電子版