Skip to Main content Skip to Navigation
Journal articles

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 developed.
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02303715
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Wednesday, October 2, 2019 - 2:59:29 PM
Last modification on : Thursday, October 3, 2019 - 1:27:37 AM

Identifiers

Collections

CNRS | ROSAS | UTT

Citation

Dinh Tuan Nguyen, Yann Dijoux, Mitra Fouladirad. Bayesian Analysis of the Brown–Proschan Model. Economic Quality Control, De Gruyter, 2015, 30 (1), ⟨10.1515/eqc-2015-6002⟩. ⟨hal-02303715⟩

Share

Metrics

Record views

22