BAYES ESTIMATION IN A MIXTURE INVERSE GAUSSIAN MODEL

被引：0
|
作者：
GUPTA, RC
AKMAN, HO
机构：
来源：
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS | 1995年 / 47卷 / 03期
关键词：
LENGTH BIASED; BIRNBAUM SAUNDERS MODEL; LINDLEY APPROXIMATION;
D O I：
暂无
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 paper a mixture model involving the inverse Gaussian distribution and its length biased version is studied from a Bayesian view-point. Using proper priors, the Bayes estimates of the parameters of the model are derived and the results are applied on the aircraft data of Proschan (1963, Technometrics, 5, 375-383). The posterior distributions of the parameters are expressed in terms of the confluent-hypergeometric function and the modified Bessel function of the third kind. The integral involved in the expression of the estimate of the mean is evaluated by numerical techniques.
引用
收藏
页码：493 / 503
页数：11
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