Document Type : Review articles
Department of Statistics, Payame Noor University, P. O. Box 19395-4697, Tehran, Iran
Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran
Department of Statistics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran
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.