期刊論文
| 學年 | 92 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2004-01-01 |
| 作品名稱 | A Simulation Study of Multiple Comparisons with the Average under Heteroscedasticity |
| 作品名稱（其他語言） | |
| 著者 | 吳淑妃; Wu, Shu-fei; Liao, B. X. |
| 單位 | 淡江大學統計學系 |
| 出版者 | Taylor & Francis |
| 著錄名稱、卷期、頁數 | Communications in Statistics : Simulation and Computation 33(3), pp. 639-659 |
| 摘要 | In many experimental situations, the average treatment performance within its own group is used as a benchmark to be compared with each individual treatment. Multiple comparison procedures with the average (MCA) are thus proposed. A simulation comparison study of the traditional MCA, the single-stage MCA and the two-stage MCA for normal distribution under heteroscedasticity is investigated by the Monte-Carlo techniques in this paper. It was found that the two-stage MCA has shorter confidence length than the single-stage MCA for most cases and it is also more robust for non-normal distributions. Therefore, the two-stage MCA is recommended. But when the additional samples at the second stage could be costly, the data-analysis oriented single-stage MCA can be used. A biometrical example to illustrate the single-stage MCA and the two-stage MCA with equal confidence length is also given in this article. |
| 關鍵字 | Two-stage MCA, Single-stage MCA, Monte-Carlo simulation |
| 語言 | en |
| ISSN | 0361-0918 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 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/987654321/20618 ) |