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A Family Which Integrates the Generalized Charlier Series and Extended Noncentral Negative Binomial Distributions
Authors:Tomonori Sugita  S. H. Ong  C. M. Ng
Affiliation:1. School of Fundamental Science and Technology , Keio University , Japan;2. Institute of Mathematical Sciences, University of Malaya , Kuala Lumpur , Malaysia
Abstract:The generalized Charlier series distribution includes the binomial distribution, and the noncentral negative binomial distribution extends the negative binomial distribution. The present article proposes a family of counting distributions, which contains both the generalized Charlier series and extended noncentral negative binomial distributions. Compound and mixture formulations of the proposed distribution are given. The probability mass function is expressible in terms of the confluent hypergeometric function as well as the Gauss hypergeometric function. Recursive formulae for probability mass function have been studied by Panjer, Sundt and Jewell, Schröter, Sundt, and Kitano et al. in the context of insurance risk. This article explores horizontal, vertical, triangular, and diagonal recursions. Recursive formulae as well as exact expressions for descending factorial moments are studied. The proposed distribution allows overdispersion or underdispersion relative to a Poisson distribution. An illustrative example of data fitting is given.
Keywords:Compound and generalized distributions  Confluent hypergeometric distribution  Mixture  Panjer's recursion  Risk theory
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