Bayesian estimation of $$R=P[Y

2019 ◽  
Vol 10 (5) ◽  
pp. 905-917 ◽  
Author(s):  
Abhimanyu Singh Yadav ◽  
S. K. Singh ◽  
Umesh Singh
Keyword(s):  
Bayesian Estimation ◽  
Type Ii ◽  
Type Ii Censoring ◽  
Lomax Distribution ◽  
Progressive Type ◽  
Inverse Lomax Distribution ◽  
Censoring Scheme ◽  
Progressive Type Ii Censoring

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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