Statistical Inference under Copula Approach of Accelerated Dependent Generalized Inverted Exponential Failure Time with Progressive Hybrid Censoring Scheme

2021 ◽  
Vol 15 (6) ◽  
pp. 687-699
2017 ◽  
Vol 6 (1) ◽  
pp. 149-167
Author(s):  
M. M. Mohie El-Din ◽  
M. Nagy ◽  
A. R. Shafay

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

Symmetry ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1149 ◽  
Author(s):  
Hyojin Lee ◽  
Kyeongjun Lee

In this paper, we propose a new type censoring scheme named a generalized adaptive progressive hybrid censoring scheme (GenAdPrHyCS). In this new type censoring scheme, the experiment is assured to stop at a pre-assigned time. This censoring scheme is designed to correct the drawbacks in the AdPrHyCS. Furthermore, we discuss inference for one parameter exponential distribution (ExD) under GenAdPrHyCS. We derive the moment generating function of the maximum likelihood estimator (MLE) of scale parameter of ExD and the resulting lower confidence bound under GenAdPrHyCS.


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