Bayesian Estimation for the Parameters of the Wem Based on Gos

In this work, the estimation problem for the unknown parameters of Weibull extension model (WEM) is investigated based on generalized order statistics. Maximum likelihood estimators and their asymptotic variance-covariance matrix are derived, also Bayes estimators using symmetric squared error loss function are obtained using non-informative type of priors for the parameters. Some numerical results using simulation study are reported.