A Bayesian Analysis of Reliability in Accelerated Life Tests Using Gibbs Sampler

Néli Maria Costa Mattos and Hélio Santos Migon
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Néli Maria Costa Mattos: Institute Militar de Engenharia
Hélio Santos Migon: Universidade Federal do Rio de Janeiro

Computational Statistics, 2001, vol. 16, issue 2, No 6, 299-312

Abstract: Summary In this paper MCMC (Markov Chain Monte Carlo) techniques are proposed to perform Bayesian inference to evaluate the reliability of units with Weibull lifetime, submitted to accelerated and censored life tests. A full Bayesian analysis is done via Gibbs sampling. The marginal posterior of the main parameters and other unobserved quantities of interest derived from them are obtained. Two numerical applications using real and artificially generated data are discussed.

Keywords: Bayesian analysis; Gibbs sampler; Reliability; Accelerated life tests; Weibull distribution (search for similar items in EconPapers)
Date: 2001
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DOI: 10.1007/s001800100066

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