Application of EM Algorithm to NHPP-Based Software Reliability Assessment with Generalized Failure Count Data
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- Okamura, Hiroyuki & Dohi, Tadashi & Osaki, Shunji, 2013. "Software reliability growth models with normal failure time distributions," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 135-141.
- B. Littlewood, 1975. "A Reliability Model for Systems with Markov Structure," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(2), pages 172-177, June.
- Hiroyuki Okamura & Tadashi Dohi, 2013. "Application of EM Algorithm to NHPP-Based Software Reliability Assessment with Ungrouped Failure Time Data," Springer Series in Reliability Engineering, in: Tadashi Dohi & Toshio Nakagawa (ed.), Stochastic Reliability and Maintenance Modeling, edition 127, pages 285-313, Springer.
- Hiroyuki Okamura & Tadashi Dohi, 2016. "Phase-type software reliability model: parameter estimation algorithms with grouped data," Annals of Operations Research, Springer, vol. 244(1), pages 177-208, September.
- Jeske D. R. & Pham H., 2001. "On the Maximum Likelihood Estimates for the Goel-Okumoto Software Reliability Model," The American Statistician, American Statistical Association, vol. 55, pages 219-222, August.
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Keywords
software reliability model; maximum likelihood estimation; EM algorithm; non-homogeneous Poisson process; generalized failure count data;All these keywords.
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