Proceedings of the Korean Society for Quality Management Conference (한국품질경영학회:학술대회논문집)

Korean Society for Quality Management (한국품질경영학회)
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A Bayesian analysis based on beta-mixtures for software reliability models

  • Nam Seungmin (Dept. of Statistics, Seoul National University) ;
  • Kim Kiwoong (Dept. of Statistics, Seoul National University) ;
  • Cho Sinsup (Dept. of Statistics, Seoul National University) ;
  • Yeo Inkwon (Division of Mathematics and Statistical Informatics, Chonbuk National University)
  • Published : 2004.04.01
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Abstract

Nonhomogeneous Poisson Process is often used to model failure times which occurred in software reliability and hardware reliability models. It can be characterized by its intensity functions or mean value functions. Many parametric intensity models have been proposed to account for the failure mechanism in real situation. In this paper, we propose a Bayesian semiparametric approach based on beta-mixtures. Two real datasets are analyzed.

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