The Journal of Reliability Engineering Association of Japan
Online ISSN : 2424-2543
Print ISSN : 0919-2697
ISSN-L : 0919-2697
Sess. 7-1 Reliability Analysis Based on Baysian Hierachica Models Using Poison Distribution
Toru KAISE
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2002 Volume 24 Issue 8 Pages 853-856

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Abstract
In this paper, we propose Bayesian hierachical models based on Poison distribution. Estimations of the Bayesian hierachical models are the maximum likelihood procedure based on marginal likelihood functions and the posterior mean using Gibbs sampler. We apply the information criterions ABIC and EIC to the failure models using the estimation methods for choice a fitted model. It is shown that the Bayesian analysis based on ABIC and EIC is useful for the reliability identification.
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© 2002 Reliability Engineering Association of Japan
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