期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2008-10-01 |
| 作品名稱 | Discussion on Skew-normal Approximation of a Binomial Distribution |
| 作品名稱（其他語言） | |
| 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 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69184 ) |