;The accelerated destructive degradation tests are used to assess the reliability information of one-shot products. To measured the quality characteristics related to product lifetime, the product needs to be destroyed during the measurement process, and each test unit has only one degradation data. In this thesis, we consider the Bayesian reliability analysis of the destructive degradation model which is mixed-effect model include measurement errors, and propose a method to estimate the pseudo failure time under the Bayesian framework. The approximate degradation analysis method is used to assess goodness-of-fit of the product life distribution which induced by destructive accelerated degradation model, and also consider the model checking under the Bayesian goodness-of-fit test. Finally, five data set are analyzed, Evaluate the adequacy of the model fitted in the data. and infer relevant reliability information.
