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A unified approach to bivariate discrete distributions

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Abstract

Here we introduce a bivariate generalized hypergeometric factorial moment distribution (BGHFMD) through its probability generating function (p.g.f.) whose marginal distributions are the generalized hypergeometric factorial moment distributions introduced by Kemp and Kemp (Bull Int Stat Inst 43:336–338,1969). Well-known bivariate versions of distributions such as binomial, negative binomial and Poisson are special cases of this distribution. A genesis of the distribution and explicit closed form expressions for the probability mass function of the BGHFMD, its factorial moments and the p.g.f.’s of its conditional distributions are derived here. Certain recurrence relations for probabilities, moments and factorial moments of the bivariate distribution are also established.

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Authors and Affiliations

  1. Department of Statistics, University of Kerala, Kariavattom, Trivandrum, Kerala, 695 581, India

    C. Satheesh Kumar

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  1. C. Satheesh Kumar
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Correspondence to C. Satheesh Kumar.

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Satheesh Kumar, C. A unified approach to bivariate discrete distributions. Metrika 67, 113–123 (2008). https://doi.org/10.1007/s00184-007-0125-8

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  • DOI: https://doi.org/10.1007/s00184-007-0125-8

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