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Vestnik Moskovskogo Universiteta. Seriya 1. Matematika. Mekhanika, 2012, Number 3, Pages 55–58
(Mi vmumm499)
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Short notes
A power function of statistical tests dependent on elementary symmetric polynomials
P. A. Kashitsyn Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Abstract:
Statistical tests not changing under an affine change of the coordinate
system are considered in the multivariate analysis.
In the case of a multivariate linear model and a model using the
canonical correlation analysis, these tests
are functions of eigenvalues of matrices following a Wishart distribution.
In this paper we prove the monotonicity property of test power functions
being functions of elementary symmetric polynomials of
eigenvalues of a matrix following a non-central Wishart distribution.
Key words:
multivariate analysis, power function, elementary symmetric polynomial, Wishart distribution.
Received: 13.05.2011
Citation:
P. A. Kashitsyn, “A power function of statistical tests dependent on elementary symmetric polynomials”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 2012, no. 3, 55–58; Moscow University Mathematics Bulletin, 67:3 (2012), 129–132
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https://www.mathnet.ru/eng/vmumm499 https://www.mathnet.ru/eng/vmumm/y2012/i3/p55
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Abstract page: | 64 | Full-text PDF : | 38 | References: | 23 |
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