Statistical Analysis Of Progressive Stress Accelerated Life Testing Of Weibull Distributions Under Ce Model
CE模型下Weibull分布序加试验的Bayes分析

Progressive stress accelerated life test is the most efficient and economical way of life tests. It begins to be used and popularized as its theory becomes more mature. This paper gives a Bayesian statistical analysis of the progressive stress accelerated life tests of the Weibull distributions, either time censored or failure censored, the relationship between life time and stress being the inverse pow law. The Bayesian estimation is given based on the Gibbs sampling technique, which solves problem when the prior of the shape parameter is continuous. This kind of prior is more clear in meaning and the real example shows that the method proposed is efficient.