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Planning step-stress test plans under Type-I censoring for the log-location-scale case
Authors:Chien-Tai Lin  Cheng-Chieh Chou  N Balakrishnan
Institution:1. Department of Mathematics , Tamkang University , New Taipei City , Taiwan, Republic of China chien@mail.tku.edu.tw;3. Department of Mathematics , Tamkang University , New Taipei City , Taiwan, Republic of China;4. Department of Mathematics and Statistics , McMaster University , Hamilton , ON , Canada , L8S 4K1
Abstract:In this paper, we consider a k-level step-stress accelerated life-testing (ALT) experiment with unequal duration steps τ=(τ1, …, τ k ). Censoring is allowed only at the change-stress point in the final stage. A general log-location-scale lifetime distribution with mean life which is a linear function of stress, along with a cumulative exposure model, is considered as the working model. Under this model, the determination of the optimal choice of τ for both Weibull and lognormal distributions are addressed using the variance–optimality criterion. Numerical results show that for a general log-location-scale distributions, the optimal k-step-stress ALT model with unequal duration steps reduces just to a 2-level step-stress ALT model.
Keywords:accelerated life  reliability  censored data  distributed computations  Weibull and similar distributions  maximum likelihood  optimization
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