Bayesian inference for the power law process

Annals of the Institute of Statistical Mathematics

Volumn 44, Issue 4, 1992, Pages 623-639

  Bar Lev, Shaul K ^a   Lavi, Idit ^a   Reiser, Benjamin ^a  

^a UNIVERSITY OF HAIFA   (Israel)

Author keywords

Bayesian inference; Power law process; prediction; repairable system

Indexed keywords

EID: 0013006379     PISSN: 00203157     EISSN: 15729052     Source Type: Journal    
DOI: 10.1007/BF00053394     Document Type: Article

References (21)

1. Some modified maximum likelihood estimators for the Weibull process
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4. Tracking reliability growth, Proceedings of the Twentieth Conference on Design of Experiments
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9. Predictive analysis
10. Bayes inference for a non-homogeneous Poisson process with power intensity law
11. Bayesian inference for the Weibull process with applications to assessing software reliability growth and predicting software failures
12. Some results on inference for the Weibull process
13. Inference on a future reliability parameter with the Weibull process model
14. The power law process: a model for the reliability of repairable systems
15. An interactive PC-based procedure for reliability assessment incorporating expert opinion and survival data