ESTIMATION OF PARAMETERS FOR NONHOMOGENEOUS POISSON PROCESS: SOFTWARE RELIABILITY WITH CHANGE-POINT MODEL
β Scribed by Chang, Yi-Ping
- Book ID
- 120020715
- Publisher
- Taylor and Francis Group
- Year
- 2001
- Tongue
- English
- Weight
- 186 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0361-0918
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π SIMILAR VOLUMES
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
The 'compound Poisson' (CP) software reliability model was proposed previously by the first named author for time-between-failure data in terms of CPU seconds, using the 'maximum likelihood estimation' (MLE) method to estimate unknown parameters; hence, CPMLE. However, another parameter estimation t