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 er
β¦ LIBER β¦
Statistical inference for general-order-statistics and nonhomogeneous-Poisson-process software reliability models
β Scribed by Joe, H.
- Book ID
- 117872082
- Publisher
- IEEE
- Year
- 1989
- Tongue
- English
- Weight
- 648 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0098-5589
- DOI
- 10.1109/32.41340
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