Presentation 2002/11/8
Reliability Analysis Based on Baysian Hierachica Models Using Poison Distribution
Toru KAISE,
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Abstract(in English) 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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Keyword(in English) Baysian hierachical model / information criterion / Poison distribution
Paper # R2002-50
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Conference Date 2002/11/8(1days)
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Language JPN
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Title (in English) Reliability Analysis Based on Baysian Hierachica Models Using Poison Distribution
Sub Title (in English)
Keyword(1) Baysian hierachical model
Keyword(2) information criterion
Keyword(3) Poison distribution
1st Author's Name Toru KAISE
1st Author's Affiliation School of Economics & Business Administration, Kobe University of Commerce()
Date 2002/11/8
Paper # R2002-50
Volume (vol) vol.102
Number (no) 454
Page pp.pp.-
#Pages 4
Date of Issue