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2015
DOI: 10.1515/eqc-2015-6002
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Bayesian Analysis of the Brown–Proschan Model

Abstract: The paper presents a Bayesian approach of the Brown–Proschan imperfect maintenance model. The initial failure rate is assumed to follow a Weibull distribution. A discussion of the choice of informative and non-informative prior distributions is provided. The implementation of the posterior distributions requires the Metropolis-within-Gibbs algorithm. A study on the quality of the estimators of the model obtained from Bayesian and frequentist inference is proposed. An application to real data is finally develop… Show more

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Cited by 3 publications
(2 citation statements)
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“…Thus, a Bayesian analysis of this model is an interesting alternative to frequentist methods. Among the studies dealing with Bayesian approaches for imperfect maintenance, we can name Nguyen et al [11] and Moneim et al [12].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, a Bayesian analysis of this model is an interesting alternative to frequentist methods. Among the studies dealing with Bayesian approaches for imperfect maintenance, we can name Nguyen et al [11] and Moneim et al [12].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, based on the SG model, in which system is replaced at the nth type-I failure or at the first type-II failure whichever occurs first, the main parameters in this model are as n = 12, k = 7, and m =(6,12,11,9,6,2,12).To examine whether theoretical models Weibull, Chen, Gompertz, and Burr-XII are suitable…”
mentioning
confidence: 99%