A study of risks of Bayes estimators in the generalized half-logistic distribution for progressively type-II censored samples

被引：2
|
作者：
Barranco-Chamorro, I. [1 ]
Luque-Calvo, P. L. [1 ]
Jimenez-Gamero, M. D. [1 ]
Alba-Fernandez, M. V. [2 ]
机构：
[1] Univ Seville, Dept Estadist & Invest Operat, E-41012 Seville, Spain
[2] Univ Jaen, Dept Estadist & Invest Operat, Jaen 23071, Spain
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2017年 / 137卷
关键词：
Generalized half-logistic distribution; Progressive censoring; Linex loss; Bayes risk; Burr-XII model; ORDER-STATISTICS; MOMENTS;
D O I：
10.1016/j.matcom.2016.09.003
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The problem of estimation of the shape parameter in a generalized half-logistic distribution for progressively type-II censored samples is of interest in reliability and survival analysis. In this paper, Bayesian methods of estimation based on quadratic and Linex loss functions are proposed. Closed expressions and approximations are obtained for the Bayes and posterior risks of Bayes estimators. These results allow us to assess the performance of estimators obtained under the previously cited loss functions. An application to a real dataset and a simulation study are included where the importance of the different features involved in the progressive type-II censoring scheme is also shown. (C) 2016 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：130 / 147
页数：18
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