The present paper describes the Bayes estimators of parameters of inverse Weibull
distribution for complete, type I and type II censored samples under general entropy and
squared error loss functions. The proposed estimators have been compared on the basis of
their simulated risks (average loss over sample space). A real-life data set is used to
illustrate the results.

‎ The combination of generalization Type-I hybrid censoring and generalization Type-II
hybrid censoring schemes create a new censoring called a unified hybrid censoring
scheme‎.‎ Therefore‎,‎ in this study‎,‎ the E-Bayesian estimation of parameters of the inverse
Weibull distribution is obtained under the unified hybrid censoring scheme‎,‎ and the
efficiency of the proposed method was compared with the Bayesian estimator using Monte
Carlo simulation and a real data set‎.