期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2009-06-27 |
| 作品名稱 | Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM |
| 作品名稱（其他語言） | |
| 著者 | Lin, Jyh-jiuan |
| 單位 | 淡江大學統計學系 |
| 出版者 | Heidelberg: Physica-Verlag GmbH und Co. |
| 著錄名稱、卷期、頁數 | Computational Statistics 25(1), p.71-95 |
| 摘要 | This paper deals with testing the equality of several homoscedastic normal population means. We introduce a newly developed computational approach test (CAT), which is essentially a parametric bootstrap method, and discuss its merits and demerits. In the process of studying the CAT’s usefulness, we compare it with the traditional one-way ANOVA’s F test as well as the analysis of means (ANOM) method. Further, the model robustness of the above three methods have been studied under the ‘t-model’. The motivation behind the proposed CAT is to provide the applied researchers a statistical tool to carry out a comparison of several population means, in a parametric setup, without worrying about the sampling distribution of the inherent test statistic. The CAT can be used to test the equality of several means when the populations are assumed to be heteroscedastic t-distributions. |
| 關鍵字 | Production;Random defective rate;Failure in repair;Backlogging;Arithmetic-geometric mean inequality |
| 語言 | en |
| ISSN | 0943-4062 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Chang, Ching-Hui |
| 審稿制度 | 否 |
| 國別 | DEU |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69179 ) |