Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4638010 | Journal of Computational and Applied Mathematics | 2016 | 12 Pages |
Abstract
This paper considers the Bayes estimation for competing risks model under Type-I progressively hybrid censoring with binomial removals from two-parameter Gompertz distribution. Bayes procedure is used to derive the estimations of the unknown parameters, reliability and hazard rate functions based on symmetric and asymmetric loss functions. The effect of varying removal probability pp on the expected termination time point under Type-I PHC with binomial removals over the expected termination time point for the complete sample (REET) is investigated. Numerical experiments using Monte Carlo simulation are given to compare the performance of the proposed estimates. Finally, one data set was used for illustrative purposes in conclusion.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Min Wu, Yimin Shi,