期刊論文
| 學年 | 90 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2001-11-12 |
| 作品名稱 | Extended rank analysis of covariance as a more efficient matched analysis considering trend information |
| 作品名稱（其他語言） | |
| 著者 | 陳主智; Chen, Chu-chih |
| 單位 | 淡江大學數學學系 |
| 出版者 | Wiley-Blackwell |
| 著錄名稱、卷期、頁數 | Biometrical Journal 43(7), pp.895-907 |
| 摘要 | Classical matched analysis, regarded as analysis of covariance (ANOCOVA) in a broad sense, makes no attempt in modeling and may therefore be inefficient. In this paper, we discuss the relative efficiencies of the ERMP (extended rank and matched-pair) test (Chen and Quade, 2000) to standard matched methods, and extend it to the case of multivariate covariables X. Taking advantage of trend information between the response Y and the covariables X by ranking after matching, ERMP test achieves better efficiency than a proposed class of weighted matched statistics. When Y is dichotomous, the optimal weighted matched statistic is equivalent to the Mantel-Haenszel statistic. Example and simulation results also suggest the conclusion. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 0323-3847 |
| 期刊性質 | 國內 |
| 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/987654321/41654 ) |