English  |  正體中文  |  简体中文  |  Items with full text/Total items : 55956/90025 (62%)
Visitors : 11513927      Online Users : 69
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50413


    Title: Selecting the Population Most Close to a Control via Empirical Bayes Approach
    Authors: Liang, Tachen;黃文濤;Huang, Wen-tao
    Contributors: 淡江大學經營決策學系
    Keywords: Asymptotically optimal;Bayes selection procedure;Empirical Bayes;Equivalent to a control;Rate of convergence;Regret
    Date: 2009-01-01
    Issue Date: 2010-08-09 17:04:23 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: This article deals with the problem of selecting the population most equivalent to a control from among k independent normal populations using the parametric empirical Bayes approach. By combining useful information from the past data, an empirical Bayes selection procedure is studied. It is proved that the regret of converges to zero at a rate , where n is the number of past observations at hand. A simulation study is carried out to investigate the performance of for small to moderate values of n.
    Relation: Communications in Statistics: Simulation and Computation 38(8), pp.1690-1713
    DOI: 10.1080/03610910903090161
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File SizeFormat
    0361-0918_38(8)p1690-1713.pdf518KbAdobe PDF243View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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