Bayesian Analysis of ARA Imperfect Repair Models

被引：15

作者：

Corset, Franck ^{[1
]}

Doyen, Laurent ^{[1
]}

Gaudoin, Olivier ^{[1
]}

机构：

[1] Grenoble Univ, Lab Jean Kuntzmann, F-38041 Grenoble 9, France

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2012年 / 41卷 / 21期

关键词：

Bayesian inference; Imperfect repair; Maintenance efficiency; MCMC algorithms; Repairable systems reliability; Virtual age; NONHOMOGENEOUS POISSON-PROCESS; RENEWAL PROCESS; INFERENCE; RELIABILITY; INTENSITY; SYSTEMS; PREDICTION;

D O I：

10.1080/03610926.2012.698688

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：

This article proposes a Bayesian analysis of a class of imperfect repair models, the ARA models. The choice of prior distributions and the computation of posterior distributions are discussed. The presentation is unified for all ARA models and many kinds of possible priors. A numerical study on the quality of the Bayesian estimators is presented, as well as a comparison with the maximum likelihood estimators. Finally, the approach is applied to a real data set.

引用

页码：3915 / 3941

页数：27

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