Accelerated Life Testing Design Using Geometric Process For Marshall-Olkin Extended Exponential Distribution With Type I Censored Data

Abstract In this paper the geometric process is used for the analysis of accelerated life testing for Marshall-Olkin Extended Exponential MOEE distribution using Type I censored data. Assuming that the lifetimes under increasing stress levels form a geometric process the parameters are estimated by using the maximum likelihood method and the original parameters instead of the developing inference for the parameters of the log linear link function are used. The asymptotic interval estimates of the parameters of the distribution using Fisher information matrix are also obtained. The simulation study is conducted to illustrate the statistical properties of the parameters and the confidence intervals.