Bayesian Estimation and Prediction for Weibull Model with Progressive Censoring
學年 101
學期 1
出版(發表)日期 2012-11-01
作品名稱 Bayesian Estimation and Prediction for Weibull Model with Progressive Censoring
作品名稱(其他語言)
著者 Huang, Syuan-Rong; Wu, Shuo-Jye
單位 淡江大學統計學系
出版者 Colchester: Taylor & Francis Ltd.
著錄名稱、卷期、頁數 Journal of Statistical Computation and Simulation  82(11), pp.1607-1620
摘要 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.
關鍵字 Bayes estimator;Credible interval;Lindley's approximation;Maximum likelihood estimation;Progressive type II censoring
語言 en
ISSN 0094-9655
期刊性質 國外
收錄於 SCI
產學合作
通訊作者 Huang, Syuan-Rong
審稿制度
國別 GBR
公開徵稿
出版型式 電子版 紙本
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