淡江大學機構典藏:Item 987654321/50403
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4052347      Online Users : 976
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/50403


    Title: Empirical Bayes estimation of the guarantee lifetime in a two-parameter exponential distribution
    Authors: 黃文濤;Huang, Wen-tao;Huang, Hui-hsin
    Contributors: 淡江大學經營決策學系
    Keywords: Asymptotic optimality;Rate of convergence;Regret
    Date: 2006-10-01
    Issue Date: 2010-08-09 16:47:36 (UTC+8)
    Publisher: Elsevier
    Abstract: We study empirical Bayes estimation of the guarantee lifetime θ in a two-parameter exponential distribution having a probability density p(x|θ,β)=(1/β)exp(-(x-θ)/β)I(x-θ) with unknown scale parameter β. An empirical Bayes estimator is proposed and its associated asymptotic optimality is studied. It is shown that is asymptotically optimal in the sense that its regret converges to zero at a rate n-2r/(2r+1), where n is the number of past observations available and r is a positive integer related to the prior distribution G.
    Relation: Statistics and Probability Letters 76(16), pp.1821-1829
    DOI: 10.1016/j.spl.2006.04.034
    Appears in Collections:[Department of Management Sciences] Journal Article

    Files in This Item:

    File Description SizeFormat
    Empirical Bayes estimation of the guarantee lifetime in a two-parameter exponential distribution.pdf165KbAdobe PDF21View/Open
    index.html0KbHTML18View/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