English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 57047/90734 (63%)
造訪人次 : 12474009      線上人數 : 194
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64881

    題名: Empirical bayes procedures for selecting the best population with multiple criteria
    作者: Huang, Wen Tao;Lai, Yao Tsung
    貢獻者: 淡江大學經營決策學系
    關鍵詞: Best population;multiple criteria;asymptotical optimality;empirical Bayes rule;convergence rate
    日期: 1999-01
    上傳時間: 2013-05-31 11:36:02 (UTC+8)
    出版者: Norwell: Kluwer Academic Publishers
    摘要: Consider k (k ≥ 2) populations whose mean θ i and variance σ i 2 are all unknown. For given control values θ0 and σ 0 2, 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 to θ0 and whose variance is less than or equal to σ 0 2. In this paper we focus on the normal populations in details. However, the analogous method can be applied for the cases other than normal in some situations. A Bayes approach is set up and an empirical Bayes procedure is proposed which has been shown to be asymptotically optimal with convergence rate of order O(ln2 n/n). A simulation study is carried out for the performance of the proposed procedure and it is found satisfactory.
    關聯: Annals of the Institute of Statistical Mathematics 51(2), pp.281-299
    DOI: 10.1023/A:1003858124810
    顯示於類別:[管理科學學系暨研究所] 期刊論文


    檔案 大小格式瀏覽次數



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋