E-Bayesian estimation of parameters of inverse Weibull distribution based on a unified hybrid censoring scheme
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
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:
Language:
English
Published:
International Journal Of Nonlinear Analysis And Applications, Volume:12 Issue: 1, Winter-Spring 2021
Pages:
461 to 472
https://www.magiran.com/p2261227