The Optimal Designs And Statistical Analysis Of Accelerated Life Tests Under Multivariate Exponential Distribution

In this paper, we consider the optimal designs and statistical analysis of accelerated life tests under the Marshal-Olkin multivariate exponential distribution. First, under the constant-stress and step-stress, the basic process of the accelerated life tests of the multivariate exponential distribution is introduced and corresponding parameters are estimated. Next, given the accelerated equation of k stress with l unknown parameters, the optimal designs of the accelerated life tests of type I and type II under the constant stress and step stress are respectively studied according to D-Optimal and V-Optimal. At last, under exponential distribution, the optimal step-stress accelerated life tests with competing causes of failure are presented, which can be actually regarded as a special case of multivariate exponential.