Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution

被引:13
|
作者
Galarza, Christian E. [1 ]
Matos, Larissa A. [2 ]
Castro, Luis M. [3 ,4 ,5 ]
Lachos, Victor H. [6 ]
机构
[1] ESPOL, Fac Ciencias Nat & Matemat, Escuela Super Politecn Litoral, Via Perimetral Km 30-5, Guayaquil, Ecuador
[2] Univ Estadual Campinas, Dept Estat, Campinas, Brazil
[3] Pontificia Univ Catolica Chile, Dept Stat, Casilla 306,Correo 22, Santiago, Chile
[4] Millennium Nucleus Ctr Discovery Struct Complex D, ANID Millennium Sci Initiat Program, Santiago, Chile
[5] Pontificia Univ Catolica Chile, Ctr Riesgos & Seguros UC, Santiago, Chile
[6] Univ Connecticut, Dept Stat, Storrs, CT 06269 USA
基金
巴西圣保罗研究基金会;
关键词
Elliptical distributions; Selection distributions; Truncated distributions; Truncated moments; MIXTURES;
D O I
10.1016/j.jmva.2021.104944
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 compute doubly truncated moments for the selection elliptical class of distributions, including some multivariate asymmetric versions of well-known elliptical distributions, such as the normal, Student's t, slash, among others. We address the moments for doubly truncated members of this family, establishing neat formulation for high-order moments and its first two moments. We establish sufficient and necessary conditions for the existence of these truncated moments. Further, we propose optimized methods to handle the extreme setting of the parameters, partitions with almost zero volume or no truncation, which are validated with numerical studies. All results have been particularized to the unified skew-t distribution, a complex multivariate asymmetric heavy-tailed distribution which includes the extended skew-t, extended skew-normal, skew-t, and skew-normal distributions as particular and limiting cases. (C) 2021 Elsevier Inc. All rights reserved.
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页数:15
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