Bayesian inference for nonhomogeneous Poisson processes in software reliability models assuming nonmonotonic intensity functions

摘要: In this paper, we introduce a Bayesian analysis for nonhomogeneous Poisson process in software reliability models assuming nonmonotonic intensity functions. Posterior summaries of interest are obtained using Markov chain Monte Carlo methods. We also present criterion to discriminate different the function bathtub form, and illustrate proposed methodology with numerical example.