教師資料查詢 | 類別: 期刊論文 | 教師: 黃文濤 HUANG, WEN-TAO (瀏覽個人網頁)

標題:Generalized subset selection procedures under heteroscedasticity
學年90
學期1
出版(發表)日期2001/10/01
作品名稱Generalized subset selection procedures under heteroscedasticity
作品名稱(其他語言)
著者Chang, Yi-ping; 黃文濤; Huang, Wen-tao
單位淡江大學經營決策學系
出版者Elsevier
著錄名稱、卷期、頁數Journal of Statistical Planning and Inference 98(1-2), pp.239-258
摘要In this paper, we propose and study a generalized subset selection procedure for selecting the best population. Based on the concept of generalized subset selection procedure, some selection procedures for normal populations are proposed and studied. They are used, respectively, to select the best population (populations) with respect to the largest mean, the largest pth quantile and the largest signal-to-noise ratio. For the case of common unknown variance, the proposed generalized subset selection procedure for selecting the largest mean becomes exactly the same as that has been given in Hsu (in: T.J. Santner, A.C. Tamhane (Eds.), Design of Experiments: Ranking and Selection, Marcel Dekker, New York, 1984, pp. 179–198). A Monte Carlo study shows that the proposed generalized subset selection procedures behave satisfactorily. An illustration of a set of real data is also given.
關鍵字Ranking and selection;Generalized subset selection procedure;Generalized probability of correct selection;Quantile;Signal-to-noise ratio 1. Introduction
語言英文
ISSN0378-3758
期刊性質國內
收錄於
產學合作
通訊作者
審稿制度
國別中華民國
公開徵稿
出版型式,電子版
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