On the noncentral distribution of the ratio of the extreme roots of wishart matrix

The distribution of the ratio of the extreme latent roots of the Wishart matrix is useful in testing the sphericity hypothesis for a multivariate normal population. Let X be a p×n matrix whose columns are distributed independently as multivariate normal with zero mean vector and covariance matrix ∑....

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Main Author: V. B. Waikar
Format: Article
Language:English
Published: Wiley 1981-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Subjects:
Online Access:http://dx.doi.org/10.1155/S0161171281000100
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author V. B. Waikar
author_facet V. B. Waikar
author_sort V. B. Waikar
collection DOAJ
description The distribution of the ratio of the extreme latent roots of the Wishart matrix is useful in testing the sphericity hypothesis for a multivariate normal population. Let X be a p×n matrix whose columns are distributed independently as multivariate normal with zero mean vector and covariance matrix ∑. Further, let S=XX′ and let 11>…>1p>0 be the characteristic roots of S. Thus S has a noncentral Wishart distribution. In this paper, the exact distribution of fp=1−1p/11 is derived. The density of fp is given in terms of zonal polynomials. These results have applications in nuclear physics also.
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spelling doaj-art-3db5fcee03aa4942a296a6e0c15aeeb22025-02-03T06:07:26ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04251981-01-014114715410.1155/S0161171281000100On the noncentral distribution of the ratio of the extreme roots of wishart matrixV. B. Waikar0Department of Mathematics & Statistics, Miami University, Oxford, Ohio 45056, USAThe distribution of the ratio of the extreme latent roots of the Wishart matrix is useful in testing the sphericity hypothesis for a multivariate normal population. Let X be a p×n matrix whose columns are distributed independently as multivariate normal with zero mean vector and covariance matrix ∑. Further, let S=XX′ and let 11>…>1p>0 be the characteristic roots of S. Thus S has a noncentral Wishart distribution. In this paper, the exact distribution of fp=1−1p/11 is derived. The density of fp is given in terms of zonal polynomials. These results have applications in nuclear physics also.http://dx.doi.org/10.1155/S0161171281000100extreme rootsWishart distributionZonal polynomials.
spellingShingle V. B. Waikar
On the noncentral distribution of the ratio of the extreme roots of wishart matrix
International Journal of Mathematics and Mathematical Sciences
extreme roots
Wishart distribution
Zonal polynomials.
title On the noncentral distribution of the ratio of the extreme roots of wishart matrix
title_full On the noncentral distribution of the ratio of the extreme roots of wishart matrix
title_fullStr On the noncentral distribution of the ratio of the extreme roots of wishart matrix
title_full_unstemmed On the noncentral distribution of the ratio of the extreme roots of wishart matrix
title_short On the noncentral distribution of the ratio of the extreme roots of wishart matrix
title_sort on the noncentral distribution of the ratio of the extreme roots of wishart matrix
topic extreme roots
Wishart distribution
Zonal polynomials.
url http://dx.doi.org/10.1155/S0161171281000100
work_keys_str_mv AT vbwaikar onthenoncentraldistributionoftheratiooftheextremerootsofwishartmatrix