Aiming at the traditional accelerated life test only considering the single stress and single failure cause,the inference method of double stress accelerated competing risks data is studied under the adaptive type-Ⅱ pro-gressively censored and the life of test units follow Weibull distribution.The maximum likelihood estimations and the asymptotic confidence intervals of unknown parameters are obtained by using the Newton-Raphson iteration and as-ymptotic likelihood theory.A Gibbs sampling combining with Metropolis-Hasting algorithm method is developed to obtain Bayes estimations,and the Monte Carlo method is employed to construct the HPD credible intervals.The simulated results show that the present method has good statistical inference performance,meanwhile the failure sample size and the expected experimentation time have significant effect on the estimations.
关键词
加速寿命试验/竞争失效/Weibull分布/极大似然估计/Bayes估计
Key words
accelerated life testing/competing risks/Weibull distribution/maximum likelihood estimation/Bayes estimation
维普
万方数据