A Class of Spherical and Elliptical Distributions with Gaussian-Like Limit Properties

被引:2
|
作者
Sherlock, Chris [1 ]
Elton, Daniel [1 ]
机构
[1] Univ Lancaster, Dept Math & Stat, Lancaster LA1 4YF, England
关键词
D O I
10.1155/2012/467187
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
We present a class of spherically symmetric random variables defined by the property that as dimension increases to infinity the mass becomes concentrated in a hyperspherical shell, the width of which is negligible compared to its radius. We provide a sufficient condition for this property in terms of the functional form of the density and then show that the property carries through to equivalent elliptically symmetric distributions, provided that the contours are not too eccentric, in a sense which we make precise. Individual components of such distributions possess a number of appealing Gaussian-like limit properties, in particular that the limiting one-dimensional marginal distribution along any component is Gaussian.
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页数:17
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