Hostname: page-component-89b8bd64d-dvtzq Total loading time: 0 Render date: 2026-05-06T08:54:41.190Z Has data issue: false hasContentIssue false

DISPERSIVE ORDERING FOR THE MULTIVARIATE NORMAL DISTRIBUTION

Published online by Cambridge University Press:  05 January 2016

Xuan Leng
Affiliation:
Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, China E-mail: lxuan10@mail.ustc.edu.cn
Jinsen Zhuang
Affiliation:
Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, China E-mail: zzjinsen@ustc.edu.cn
Taizhong Hu
Affiliation:
Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, China E-mail: thu@ustc.edu.cn

Abstract

Let (X1, …, Xn) be a multivariate normal random vector with any mean vector, variances equal to 1 and covariances equal and positive. Turner and Whitehead [9] established that the largest order statistic max{X1, …, Xn} is less than the standard normal random variable in the dispersive order. In this paper, we give a new and straightforward proof for this result. Several possible extensions of this result are also discussed.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable