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Multivariate Generalization of the Confluent Hypergeometric Function Kind 1 Distribution
Author(s) -
Daya K. Nagar,
Fabio Humberto Sepúlveda-Murillo
Publication year - 2008
Publication title -
international journal of mathematics and mathematical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 39
eISSN - 1687-0425
pISSN - 0161-1712
DOI - 10.1155/2008/152808
Subject(s) - algorithm , computer science
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

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