We consider simple 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 bias and mean squared error of the maximum likelihood estimators. We also consider bootstrap confidence intervals and calculate their coverage probabilities. A Monte Carlo simulation study is carried out to examine the performance of the maximum likelihood estimators through their mean squared error and the confidence intervals through their coverage probabilities.

step-stress accelerated life tests, generalized exponential distribution, Type-II censoring, maximum likelihood estimation, bootstrap confidence intervals, coverage probability, Monte Carlo simulation.