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Bayesian inference for the power law process

Author

Listed:
  • Shaul Bar-Lev
  • Idit Lavi
  • Benjamin Reiser

Abstract

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Suggested Citation

  • Shaul Bar-Lev & Idit Lavi & Benjamin Reiser, 1992. "Bayesian inference for the power law process," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 44(4), pages 623-639, December.
    • Handle: RePEc:spr:aistmt:v:44:y:1992:i:4:p:623-639
    DOI: 10.1007/BF00053394
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    Citations

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    Cited by:

    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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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