International Journal of Nonlinear Analysis and Applications
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
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
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