Abstract: 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.

Key words: masked data, BurrXII distribution, Bayes estimation