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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.

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