Journal of Statistics Applications & Probability


This article explores accelerated life test from constant-stress test based on progressive type-II censoring. We consider that the lifetime of items under use condition follows the three-parameter inverted generalized linear exponential distribution. To estimate the distribution parameters and the acceleration factor, we employ the maximum likelihood method. The Gibbs sampler with the Metropolis-Hastings algorithm is applied to generate the Markov chain Monte Carlo samples from the posterior functions to approximate the Bayes estimation using several loss functions and to establish the symmetric credible interval for the parameters and the acceleration factor. A real data and simulated data are analyzed for more illustration. A simulation study is presented to compare the obtained estimates based on mean square error and average absolute bias.

Digital Object Identifier (DOI)