Approximate Bayes Estimators of The Inverted Kumarswamy Distribution Parameters Based on Progressive Type-II Censoring Scheme

2019 ◽  
Vol 8 (3) ◽  
pp. 189-199
Author(s):  
A., M., Sara Rashad, Yusuf, Moheb
2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Kyeongjun Lee ◽  
Jung-In Seo

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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