Null distribution of multiple correlation coefficient under mixture normal model

The multiple correlation coefficient is used in a large variety of statistical tests and regression problems. In this article, we derive the null distribution of the square of the sample multiple correlation coefficient, R2, when a sample is drawn from a mixture of two multivariate Gaussian popul...

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Bibliographic Details
Main Authors: Hydar Ali, Daya K. Nagar
Format: Article
Language:English
Published: Hindawi Limited 2002-01-01
Series:International Journal of Mathematics and Mathematical Sciences
Online Access:http://dx.doi.org/10.1155/S0161171202012838
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spelling doaj-7a2ba21c107f4d6198692473d7136f7c2020-11-24T22:38:58ZengHindawi LimitedInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252002-01-0130424925510.1155/S0161171202012838Null distribution of multiple correlation coefficient under mixture normal modelHydar Ali0Daya K. Nagar1Department of Mathematics and Computer Science, the University of the West Indies, St. Augustine, Trinidad and TobagoDepartamento de Matemáticas, Universidad de Antioquia, Medellín A. A. 1226, ColombiaThe multiple correlation coefficient is used in a large variety of statistical tests and regression problems. In this article, we derive the null distribution of the square of the sample multiple correlation coefficient, R2, when a sample is drawn from a mixture of two multivariate Gaussian populations. The moments of 1−R2 and inverse Mellin transform have been used to derive the density of R2.http://dx.doi.org/10.1155/S0161171202012838
collection DOAJ
language English
format Article
sources DOAJ
author Hydar Ali
Daya K. Nagar
spellingShingle Hydar Ali
Daya K. Nagar
Null distribution of multiple correlation coefficient under mixture normal model
International Journal of Mathematics and Mathematical Sciences
author_facet Hydar Ali
Daya K. Nagar
author_sort Hydar Ali
title Null distribution of multiple correlation coefficient under mixture normal model
title_short Null distribution of multiple correlation coefficient under mixture normal model
title_full Null distribution of multiple correlation coefficient under mixture normal model
title_fullStr Null distribution of multiple correlation coefficient under mixture normal model
title_full_unstemmed Null distribution of multiple correlation coefficient under mixture normal model
title_sort null distribution of multiple correlation coefficient under mixture normal model
publisher Hindawi Limited
series International Journal of Mathematics and Mathematical Sciences
issn 0161-1712
1687-0425
publishDate 2002-01-01
description The multiple correlation coefficient is used in a large variety of statistical tests and regression problems. In this article, we derive the null distribution of the square of the sample multiple correlation coefficient, R2, when a sample is drawn from a mixture of two multivariate Gaussian populations. The moments of 1−R2 and inverse Mellin transform have been used to derive the density of R2.
url http://dx.doi.org/10.1155/S0161171202012838
work_keys_str_mv AT hydarali nulldistributionofmultiplecorrelationcoefficientundermixturenormalmodel
AT dayaknagar nulldistributionofmultiplecorrelationcoefficientundermixturenormalmodel
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