Parameter Estimation for a Mixture of Inverse Chen and Inverse Compound Rayleigh Distributions Based on Type-II Hybrid Censoring Scheme

2021 ◽  
Vol 10 (2) ◽  
pp. 467-485

2018 ◽  
Vol 12 (18) ◽  
pp. 879-891
Author(s):  
Claudio C. Kandza-Tadi ◽  
Leo O. Odongo ◽  
Romanus O. Odhiambo


2014 ◽  
Vol 3 (2) ◽  
pp. 117-127
Author(s):  
Sanjay Kumar Singh ◽  
Umesh Singh ◽  
Abhimanyu Singh Yadav


2018 ◽  
Vol 19 (1) ◽  
pp. 25-65 ◽  
Author(s):  
Mazen Nassar ◽  
Osama Abo-Kasem ◽  
Chunfang Zhang ◽  
Sanku Dey


2018 ◽  
Vol 5 (4) ◽  
pp. 679-708
Author(s):  
Tanmay Sen ◽  
Yogesh Mani Tripathi ◽  
Ritwik Bhattacharya




Author(s):  
Shahram Yaghoobzadeh Shahrastani ◽  
Iman Makhdoom

The combination of generalization Type-I hybrid censoring and generalization Type-II hybrid censoring schemes, scheme creates a new censoring called a Unified hybrid censoring scheme. Therefore, in this study, the E-Bayesian estimation of parameters of the inverse Weibull (IW) 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.



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