Concomitants of order statistics from multivariate elliptical distributions

被引:7
|
作者
Jamalizadeh, Ahad [2 ]
Balakrishnan, N. [1 ,3 ]
机构
[1] McMaster Univ, Hamilton, ON, Canada
[2] Shahid Bahonar Univ, Kerman, Iran
[3] King Saud Univ, Fac Sci, Riyadh, Saudi Arabia
基金
加拿大自然科学与工程研究理事会;
关键词
Multivariate elliptical distribution; Order statistics; Concomitants; Mixture; Multivariate unified skew-elliptical distribution; Multivariate normal; Multivariate t; LINEAR-COMBINATIONS;
D O I
10.1016/j.jspi.2011.07.010
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, by considering a 2n-dimensional elliptically contoured random vector (X(T),Y(T))(T) = (X(1), ..., X(n), Y(1), ...,Y(n))(T), we derive the exact joint distribution of linear combinations of concomitants of order statistics arising from X. Specifically, we establish a mixture representation for the distribution of the rth concomitant order statistic, and also for the joint distribution of the rth order statistic and its concomitant. We show that these distributions are indeed mixtures of multivariate unified skew-elliptical distributions. The two most important special cases of multivariate normal and multivariate t distributions are then discussed in detail. Finally, an application of the established results in an inferential problem is outlined. (C) 2011 Elsevier B.V. All rights reserved.
引用
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页码:397 / 409
页数:13
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