Using advantages of priori Bayesian method, a reliability verification test method based on Hybrid Bayesian Prior Distribution was brought forward. The prior distribution of unknown parameters can be obtained by using conjugate prior distribution method. Prior moment method and Maximum entropy method were used respectively to calculate two different groups of parameters, and then two different prior distributions can be obtained. Then confidence factors of the two prior distributions were determined by using the second category maximum likelihood method, and the final distribution can be got by integrating there two group of parameters according to their weight. Instance proved that the prior distribution obtained by this method is more accurate, and can fit better with the real distribution.
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