Sess. 7-1 Reliability Analysis Based on Baysian Hierachica Models Using Poison Distribution

DOI Web Site 2 Citations
  • KAISE Toru
    School of Economics & Business Administration, Kobe University of Commerce

Bibliographic Information

Other Title
  • セッション7-1 ポアソン分布に基づく階層的ベイズモデルによる信頼性解析(信頼性・品質3学会合同シンポジウム)
  • ポアソン分布に基づく階層的ベイズモデルによる信頼性解析
  • ポアソン ブンプ ニ モトヅク カイソウテキ ベイズ モデル ニ ヨル シンライセイ カイセキ

Search this article

Description

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.

Journal

Citations (2)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top