Bayesian inference for the power law process
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DOI: 10.1007/BF00053394
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Cited by:
- Almeida, Marco Pollo & Paixão, Rafael S. & Ramos, Pedro L. & Tomazella, Vera & Louzada, Francisco & Ehlers, Ricardo S., 2020. "Bayesian non-parametric frailty model for dependent competing risks in a repairable systems framework," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
- Rama Lingham & S. Sivaganesan, 1997. "Testing Hypotheses About the Power Law Process Under Failure Truncation Using Intrinsic Bayes Factors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 49(4), pages 693-710, December.
- Yu, Jun-Wu & Tian, Guo-Liang & Tang, Man-Lai, 2008. "Statistical inference and prediction for the Weibull process with incomplete observations," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1587-1603, January.
- Alicja Jokiel-Rokita & Ryszard Magiera, 2023. "Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process," Computational Statistics, Springer, vol. 38(2), pages 675-710, June.
- Fabrizio Ruggeri & Siva Sivaganesan, 2005. "On Modeling Change Points in Non-Homogeneous Poisson Processes," Statistical Inference for Stochastic Processes, Springer, vol. 8(3), pages 311-329, December.
- Yu, Jun-Wu & Tian, Guo-Liang & Tang, Man-Lai, 2007. "Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4254-4268, May.
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Keywords
Power law process; Bayesian inference; prediction; repairable system;All these keywords.
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