Bayesian analysis of a constant-stress accelerated life testing with thermal aging life model under general progressive type-II censored data | Zendy

Wei Cui | Zendy; Xiuyun Peng | Zendy; Zaizai Yan | Zendy

Open Access

Bayesian analysis of a constant-stress accelerated life testing with thermal aging life model under general progressive type-II censored data

Author(s) -

Wei Cui,

Xiuyun Peng,

Zaizai Yan

Publication year - 2019

Publication title -

thermal science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.339

H-Index - 43

eISSN - 2334-7163

pISSN - 0354-9836

DOI - 10.2298/tsci1904509c

Subject(s) - censoring (clinical trials) , accelerated life testing , markov chain monte carlo , constant (computer programming) , bayes' theorem , monte carlo method , bayesian probability , mathematics , computer science , statistics , weibull distribution , programming language

This paper discusses the parameter estimation by Bayesian method when the thermal aging lifetime follows the log-normal distribution and the sample is a general progressive type-II censoring from a constant-stress accelerated life test. The Bayes estimates cannot be obtained in an inexplicit form, and an approximate one is solved by the hybrid Markov chain Monte-Carlo method. The thermal aging life data are presented to illustrate proposed method.

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