On General Multivariate Mixture Models

被引：8
|
作者：
Ling, Xiaoliang [1 ,2 ]
Zhao, Peng [2 ]
机构：
[1] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China
[2] Jiangsu Normal Univ, Sch Math & Stat, Xuzhou, Peoples R China
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2014年 / 43卷 / 20期
关键词：
Stochastic orders; Hazard gradient; Reversed hazard gradient; Multivariate mixtures; STOCHASTIC COMPARISONS; DEPENDENCE; DISTRIBUTIONS;
D O I：
10.1080/03610926.2012.724508
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 focus our attention on the general multivariate mixture model. We drive the relationship between the conditional and the unconditional reliability measures such as the hazard gradient, reversed hazard gradient, multivariate mean residual life, and multivariate reversed mean residual life. We present some sufficient conditions under which we can stochastically compare those vectors of general multivariate mixture models in the senses of various stochastic orderings.
引用
收藏
页码：4223 / 4240
页数：18
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