E-Bayesian estimation of parameters of inverse Weibull distribution based on a unified hybrid censoring scheme

Document Type : Review articles

Authors

1 Department of Statistics‎, ‎Payame Noor University‎, ‎P‎. ‎O‎. ‎Box 19395-4697‎, ‎Tehran‎, ‎Iran

2 Department of Statistics‎, ‎Faculty of Mathematical Sciences‎, ‎University of Guilan‎, ‎Rasht‎, ‎Iran

3 Department of Statistics, Faculty of Mathematics, Statistics and Computer Science, Semnan University, Semnan, Iran

10.22075/ijnaa.2021.4825

Abstract

‎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.

Keywords