摘要

The Gauss hypergeometric distribution with the density proportional to x(alpha-1) (1 - x)(beta-1) (1 + xi x)(-gamma), 0 < x < 1 arises in connection with the prior distribution of the parameter rho(0 < rho < 1) representing traffic intensity in a M/M/1 queue system. In this article, we define and study a multivariate generalization of this distribution and derive some of its properties like marginal densities, joint moments, and factorizations. A data application is given.

  • 出版日期2015-8