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標題:A Procedure of Selecting All Good Populations Under Heteroscedasticity
學年97
學期1
出版(發表)日期2008/10/01
作品名稱A Procedure of Selecting All Good Populations Under Heteroscedasticity
作品名稱(其他語言)
著者Wu, Shu-Fei; Yu, Yuh-Ru
單位淡江大學統計學系
出版者Philadelphia: Taylor & Francis Inc.
著錄名稱、卷期、頁數Communications in Statistics - Simulation and Computation 38(1), pp.46-57
摘要Suppose that k normal populations with means μ1,…, μ k and variances are considered. When variances are unknown and equal, Lam (1986) proposed a procedure to select all good populations, where a population is good if μ i ≥ μ[k] − ϵ and μ[k] is the largest normal mean among k normal means. When variances are unknown and possibly unequal, a two-stage procedure selecting all good populations such that the probability of correct selection being at least a pre-specified value of P* is proposed. Without decreasing the probability of correct selection, the confidence interval of pairwise differences of all means to the largest normal mean is presented with the selection procedure. When the additional samples at the second stage could be costly, a data-analysis one-stage procedure selecting all good population is proposed. At last, one real-life example is given to illustrate all procedures.
關鍵字One-stage;Percentage points;Percentage points;Select all good populations whose mean does not fall too much below the best one;Simultaneous inference;Student t distribution;Two-stage
語言英文
ISSN0361-0918; 1532-4141
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者Wu, Shu-Fei
審稿制度
國別美國
公開徵稿
出版型式紙本
相關連結
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  • 教育品質,工業、創新與基礎建設
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