Estimations of parameters in a three state reliability semi-Markov model

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摘要

Maximum likelihood and Bayes estimates of the parameters included in a three state semi-Markov reliability model are presented. The renewal kernel which depends upon a vector of unknown parameters is used to define a semi-Markov process which can be used to describe some reliability model. Moreover, some of the obtained results are compared with those obtained in other literature. Special case of the obtained results is presented.

论文关键词:Maximum likelihood,Bayes estimators,Gamma prior distribution,Posterior mean,Semi-Markov model,Standby system with repair

论文评审过程:Available online 16 December 2003.

论文官网地址:https://doi.org/10.1016/S0096-3003(03)00718-5