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    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

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