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I. Olkin and H. Rubin, “Multivariate Beta Distributions and Independence Properties of the Wishart Distribution,” Annals Mathematical Statistics, Vol. 35, No.1, 1964, pp. 261-269. doi:10.1214/aoms/1177703748

has been cited by the following article:

• TITLE: Distributions of Ratios: From Random Variables to Random Matrices

  AUTHORS: Thu Pham-Gia, Noyan Turkkan

  KEYWORDS: Matrix Variate, Beta Distribution, Generalized-F Distribution, Ratios, Meijer G-Function, Wishart Distribution, Ratio

  JOURNAL NAME: Open Journal of Statistics, Vol.1 No.2, July 21, 2011

  ABSTRACT: The ratio R of two random quantities is frequently encountered in probability and statistics. But while for unidimensional statistical variables the distribution of R can be computed relatively easily, for symmetric positive definite random matrices, this ratio can take various forms and its distribution, and even its definition, can offer many challenges. However, for the distribution of its determinant, Meijer G-function often provides an effective analytic and computational tool, applicable at any division level, because of its reproductive property.