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Bayesian analysis of software reliability models with reference prior
Journal: International Journal of Advances in Applied Mathematics and Mechanics (IJAAMM) (Vol.1, No. 1)Publication Date: 2013-09-13
Authors : Ashkan Ertefaie; M. Reza Meshkan;
Page : 35-46
Keywords : Gibs sampling; Metropolis algorithm; Model selection; non-homogeneous poisson process; Reference prior.;
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Abstract
In this paper, we introduce a Bayesian analysis for non-homogeneous Poisson process in software reliability models. Posterior summaries of interest are obtained using Markov chain Monte Carlo methods. We compare the results obtained from using conjugate and reference priors. Model selection based on the prequential conditional predictive ordinates is developed.
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Last modified: 2013-09-30 01:43:51