ANALYSIS OF EXPONENTIATED EXPONENTIAL MODEL UNDER STEP STRESS PARTIALLY ACCELERATED LIFE TESTING PLAN USING PROGRESSIVE TYPE-II CENSORED DATA

Abstract

Recently, partially accelerated life testing has become quite important in reliability and life testing studies. This paper discusses maximum likelihood estimation method in step-stress partially accelerated life tests when the lifetime of items under use condition follow the exponentiated exponential distribution. Based on progressively type-II censored samples; the point and interval estimations for the considered parameters and the tampering coefficient are obtained in closed forms. The observed Fisher information matrix is derived to calculate confidence intervals for the considered parameters. The performance of the resulting estimators of the developed model parameters is evaluated and investigated in terms of their biases and mean squared errors by using a Monte Carlo simulation method