Bayesian Prediction of Exponentiated Weibull Distribution based on Progressive Type II Censoring

被引：4

作者：

Jung, Jinhyouk ^{[1
]}

Chung, Younshik ^{[2
]}

机构：

[1] Diloitte Consulting Korea, Dept Analyt, Seoul, South Korea

[2] Pusan Natl Univ, Dept Stat, Pusan 609735, South Korea

来源：

COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS | 2013年 / 20卷 / 06期

关键词：

Bayesian prediction bounds; exponentiated Weibull distribution; Gibbs sampling; Metropolis-Hastings algorithm; progressive Type II censoring;

D O I：

10.5351/CSAM.2013.20.6.427

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Based on progressive Type II censored sampling which is an important method to obtain failure data in a lifetime study, we suggest a very general form of Bayesian prediction bounds from two parameters exponentiated Weibull distribution using the proper general prior density. For this, Markov chain Monte Carlo approach is considered and we also provide a simulation study.

引用

页码：427 / 438

页数：12

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