International Journal of Mathematics and Mathematical Sciences
Volume 2008 (2008), Article ID 152808, 13 pages
doi:10.1155/2008/152808
Multivariate generalization of the confluent hypergeometric function kind 1 distribution
Daya K. Nagar
and Fabio Humberto Sepúlveda-Murillo
Departamento de Matemáticas, Universidad de Antioquia, Calle 67, 53-108 Medellín, Colombia
Abstract
The confluent hypergeometric function kind 1 distribution with the probability density function (pdf) proportional to x_−1F11(α;β;−x), x>0 occurs as the distribution of the ratio of independent gamma and beta variables. In this article, a multivariate generalization of this distribution is defined and derived. Several pertinent properties of this multivariate distribution are discussed that shed some light on the nature of the distribution.