Multivariate Doubly Truncated Moments for a Class of Multivariate Location-Scale Mixture of Elliptical Distributions

被引:0
|
作者
Han, Xiangyu [1 ]
Yin, Chuancun [1 ]
机构
[1] Qufu Normal Univ, Sch Stat & Data Sci, Qufu 273165, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
multivariate doubly truncated moments; multivariate location-scale mixture; multivariate tail conditional expectation;
D O I
10.3103/S1066530723030043
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, we investigate multivariate doubly truncated moments for a class of multivariate location-scale mixture of elliptical (LSME) distributions. This rich family includes some well-known distributions, such as location-scale mixture of normal, location-scale mixture of Student-t, location-scale mixture of logistic and location-scale mixture of Laplace distributions, as special cases. We first present general formulae for computing the first two moments of the LSME distributions under the double truncation. We then consider a special case for cross moment. As an application, we present the results of multivariate tail conditional expectation (MTCE) for generalized hyperbolic (MGH) distribution.
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页码:155 / 175
页数:21
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