English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49276/83828 (59%)
Visitors : 7144848      Online Users : 56
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/987654321/58474


    Title: Bayesian Estimation and Prediction for Weibull Model with Progressive Censoring
    Authors: Huang, Syuan-Rong;Wu, Shuo-Jye
    Contributors: 淡江大學統計學系
    Keywords: Bayes estimator;Credible interval;Lindley's approximation;Maximum likelihood estimation;Progressive type II censoring
    Date: 2012-11
    Issue Date: 2013-06-13 11:27:57 (UTC+8)
    Publisher: Colchester: Taylor & Francis Ltd.
    Abstract: This article presents the statistical inferences on Weibull parameters with the data that are progressively type II censored. The maximum likelihood estimators are derived. For incorporation of previous information with current data, the Bayesian approach is considered. We obtain the Bayes estimators under squared error loss with a bivariate prior distribution, and derive the credible intervals for the parameters of Weibull distribution. Also, the Bayes prediction intervals for future observations are obtained in the one- and two-sample cases. The method is shown to be practical, although a computer program is required for its implementation.A numerical example is presented for illustration and some simulation study are performed.
    Relation: Journal of Statistical Computation and Simulation  82(11), pp.1607-1620
    DOI: 10.1080/00949655.2011.588602
    Appears in Collections:[統計學系暨研究所] 期刊論文

    Files in This Item:

    File SizeFormat
    0094-9655_82 (11)p1607-1620.pdf148KbAdobe PDF152View/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