我们认为有不同波尔的二个独立、非相同的部件的一个系列系统散布了一生。系统的部件的参数的最大的可能性的和 Bayes 评估者基于掩盖的系统生活测试数据被获得。结论是 Bayes 估计比在有更小的均方差的意义的最大的可能性的估计好。
We consider a series system of two independent and non-identical components which have different BurrⅫ distributed lifetime.The maximum likelihood and Bayes estimators of the parameters of the system's components are obtained based on masked system life test data.The conclusion is that the Bayes estimates are better than the maximum likelihood estimates in the sense of having smaller mean squared errors.