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

Joint Authors

Elton, Daniel
Sherlock, Chris

Source

Journal of Probability and Statistics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-02-28

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Sherlock, Chris& Elton, Daniel. 2012. A Class of Spherical and Elliptical Distributions with Gaussian-Like Limit Properties. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-473798

Modern Language Association (MLA)

Sherlock, Chris& Elton, Daniel. A Class of Spherical and Elliptical Distributions with Gaussian-Like Limit Properties. Journal of Probability and Statistics No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-473798

American Medical Association (AMA)

Sherlock, Chris& Elton, Daniel. A Class of Spherical and Elliptical Distributions with Gaussian-Like Limit Properties. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-473798

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-473798