Title of article :
E-Bayesian estimation of parameters of inverse Weibull distribution based on a unified hybrid censoring scheme
Author/Authors :
Yaghoobzadeh Shahrestani, Shahram Department of Statistics - Payame Noor University, Tehran, Iran , Zarei, Reza Department of Statistics - Faculty of Mathematical Sciences - University of Guilan, Rasht, Iran , Malekzadeh, Parviz 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 :
E-Bayesian estimation , Unified hybrid censoring scheme , Inverse Weibull distribution , LINEX loss function
Journal title :
International Journal of Nonlinear Analysis and Applications
