Extended rank analysis of covariance as a more efficient matched analysis considering trend information
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
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