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On the distribution of sample scale-free scatter matrices

A. M. Mathai () and Serge B. Provost ()
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A. M. Mathai: McGill University
Serge B. Provost: The University of Western Ontario

Statistical Papers, 2024, vol. 65, issue 1, No 6, 138 pages

Abstract: Abstract This paper addresses certain distributional aspects of a scale-free scatter matrix denoted by R that is stemming from a matrix-variate gamma distribution having a positive definite scale parameter matrix B. Under the assumption that B is a diagonal matrix, a structural representation of the determinant of R is derived; the exact density functions of products and ratios of determinants of matrices possessing such a structure are obtained; a closed form expression is given for the density function of R. Moreover, a novel procedure is utilized to establish that certain functions of the determinant of the sample scatter matrix are asymptotically distributed as chi-square or normal random variables. Then, representations of the density function of R that respectively involve multiple integrals, multiple series and Gauss’ hypergeometric function are provided for the general case of a positive definite scale parameter matrix, and an illustrative numerical example is presented. Cutting-edge mathematical techniques have been employed to derive the results. Naturally, they also apply to the conventional sample correlation matrix which is encountered in various multivariate inference contexts.

Keywords: Matrix-variate gamma distribution; Scatter measures; Limiting chi-square distribution; Asymptotic normality; Exact distribution theory; Sample correlation matrix; 62H10; 62E15; 26B15; 60B20 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s00362-022-01388-8

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