✦ LIBER ✦

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

✍ Scribed by Juan Esteban Ramı́rez Cid; Jorge Alberto Achcar

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 183 KB
Volume: 32
Category: Article
ISSN: 0167-9473
DOI: 10.1016/s0167-9473(99)00028-6

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✦ Synopsis

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 a Bayesian criterion to discriminate di erent models for the intensity function assuming a bathtub form, and we illustrate the proposed methodology with a numerical example.