Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig

2008 ◽  
pp. 107-137 ◽  
Author(s):  
Qihao Xie ◽  
N. Balakrishnan ◽  
Dong-hoon Han
Keyword(s):  
Stress Model ◽  
Type Ii ◽  
Exact Inference ◽  
Progressive Type ◽  
Simple Step ◽  
Optimal Censoring ◽  
Censoring Scheme

Exact Inference of a Simple Step-Stress Model with Hybrid Type-II Stress Changing Time

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Debashis Samanta ◽  
Arnab Koley ◽  
Arindam Gupta ◽  
Debasis Kundu
Keyword(s):  
Stress Model ◽  
Type Ii ◽  
Exact Inference ◽  
Hybrid Type ◽  
Simple Step

scholarly journals Different Approaches to Estimation of the Gompertz Distribution under the Progressive Type-II Censoring Scheme

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Kyeongjun Lee ◽  
Jung-In Seo
Keyword(s):  
Nuisance Parameter ◽  
Estimation Method ◽  
Real Data ◽  
Type Ii ◽  
Gompertz Distribution ◽  
Type Ii Censoring ◽  
Scale Parameters ◽  
Progressive Type ◽  
Censoring Scheme ◽  
Progressive Type Ii Censoring

This paper provides an estimation method for an unknown parameter by extending weighted least-squared and pivot-based methods to the Gompertz distribution with the shape and scale parameters under the progressive Type-II censoring scheme, which induces a consistent estimator and an unbiased estimator of the scale parameter. In addition, a way to deal with a nuisance parameter is provided in the pivot-based approach. For evaluation and comparison, the Monte Carlo simulations are conducted, and real data are analyzed.

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