Bayesian estimation for a multi step-stress accelerated generalized exponential model with type-II censored data

Abstract

We consider multiple step-stress accelerated life tests (SS-ALTs) assuming that the lifetime follows a generalized exponential distribution. Based on Type-II censored data, we calculate the maximum likelihood and Baysian estimates using MCMC. A Monte Carlo simulation study is carried out to examine the performance of the maximum likelihood and Baysin estimators through their mean squared error.