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

標題:Selecting the Best Population: An Empirical Bayes Approach
學年92
學期2
發表日期2004/06/21
作品名稱Selecting the Best Population: An Empirical Bayes Approach
作品名稱(其他語言)
著者Huang, Wen-Tao; Lai, Yao-Tsung
作品所屬單位淡江大學經營決策學系
出版者臺北縣淡水鎮 : 淡江大學
會議名稱2004年兩岸管理科學暨經營決策學術研討會
會議地點貴州省貴陽市, 中國
摘要Consider k(k~2) populations whose meanei and variance a} are all unknown. For
given control values θand σ²'";, we are interested in selecting some population whose
mean is the largest in the qualified subset in which each mean is larger than or equal toθ
and whose variance is less than or equal to σ²; . In this paper we focus on the case of
normal populations. However, the analogous method can be applied for the cases other
than normal. A Bayes approach is set up and an empirical Bayes procedure is proposed
which has been shown to be asymptotically optimal.
關鍵字Selection;multiple criteria;empirical Bayes;asymptotic optimality
語言英文
收錄於
會議性質兩岸
校內研討會地點
研討會時間20040621~20040621
通訊作者
國別中國
公開徵稿Y
出版型式
出處2004年兩岸管理科學暨經營決策學術研討會論文集, pp.43-52
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