Semnan University International Journal of Nonlinear Analysis and Applications 2008-6822 12 1 2021 05 01 E-Bayesian estimation of parameters of inverse Weibull distribution based on a unified hybrid censoring scheme 461 471 4825 10.22075/ijnaa.2021.4825 EN Shahram Yaghoubzadeh Shahrestani Department of Statistics‎, ‎Payame Noor University‎, ‎P‎. ‎O‎. ‎Box 19395-4697‎, ‎Tehran‎, ‎Iran Reza Zarei Department of Statistics‎, ‎Faculty of Mathematical Sciences‎, ‎University of Guilan‎, ‎Rasht‎, ‎Iran Parviz Malekzadeh Department of Statistics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran Journal Article 2020 05 12 ‎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. https://ijnaa.semnan.ac.ir/article_4825_b29e532af9935b869b9e91320d90f1cf.pdf