Statistical Inference of Constant-Stress Partially Accelerated Life Test Model Using Failure-Censored Data from the Linear Failure Rate Distribution

Abstract

In this article, the case of failure-censored constant-stress partially accelerated life test for highly reliable materials or devices assuming the linear failure rate distribution is considered. The maximum likelihood estimates of the distribution parameters and the acceleration factor are obtained. In order to evaluate the performance, the mean squared errors are calculated using different sizes of samples. In addition, the approximate confidence intervals of model parameters are constructed. For illustrative purposes, Monte Carlo simulation studies are offered.