Multivariate Generalization of the Gauss Hypergeometric Distribution

نویسندگان

  • DAYA K. NAGAR
  • SARALEES NADARAJAH
چکیده

The Gauss hypergeometric distribution with the density proportional to xα−1 (1− x)β−1 (1 + ξx)−γ , 0 < x < 1 arises in connection with the priori distribution of the parameter ρ (0 < ρ < 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.

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تاریخ انتشار 2014