Exact likelihood inference for two populations from two-parameter exponential distributions under joint Type-II censoring

被引:11
|
作者
Abdel-Aty, Yahia [1 ,2 ]
机构
[1] Al Azhar Univ, Fac Sci, Dept Math, Cairo 11884, Egypt
[2] Taibah Univ, Fac Sci, Dept Math, Al Madinah 41411, Saudi Arabia
关键词
Bayes inference; bootstrap intervals; confidence bounds; joint type-II censoring; likelihood inference; two-parameter exponential distribution; Primary: 62F10; 62F15; Secondary: 62F40; 62N01;
D O I
10.1080/03610926.2016.1200093
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, we develop exact inference for two populations that have a two-parameter exponential distribution with the same location parameter and different scale parameters when Type-II censoring is implemented on the two samples in a combined manner. We obtain the conditional maximum likelihood estimators (MLEs) of the three parameters. We then derive the exact distributions of these MLEs along with their moment generating functions. Based on general entropy loss function, Bayesian study about the parameters is presented. Finally, some simulation results and an illustrative example are presented to illustrate the methods of inference developed here.
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页码:9026 / 9041
页数:16
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