English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 56121/90161 (62%)
造訪人次 : 11555103      線上人數 : 67
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/987654321/50415

    題名: Selecting the best process based on capability index via empirical Bayes approach
    作者: 黃文濤;Huang, Wen-tao;Lai, Yao-tsung
    貢獻者: 淡江大學經營決策學系
    關鍵詞: Asymptotic optimality;Empirical Bayes rule;Process capability index;Ranking and selection;Cpw
    日期: 2009-06-01
    上傳時間: 2010-08-09 17:05:14 (UTC+8)
    出版者: Taylor & Francis
    摘要: Consider k (k ≥ 2) manufacturing processes whose mean θi, variance and process capability index Cpw (i), i = 1,…, k, are all unknown. For two given control values Cpw (0) and , we are interested in selecting some process whose capability index is no less than Cpw (0) and is the largest in the qualified subset in which each process variance is no larger than . Under a Bayes framework, we consider the normally distributed manufacturing processes taking normal-gamma as its conjugate prior. A Bayes approach is set up and an empirical Bayes procedure is proposed which has been shown to be asymptotically optimal. A simulation study is carried out for the performance of the proposed procedure and it is found practically useful.
    關聯: Communications in Statistics : Theory and Methods 38(10), pp.1576-1588
    DOI: 10.1080/03610920802715024
    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
    0361-0926_38(10)p1576-1588.pdf289KbAdobe PDF248檢視/開啟



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