ON KEMPTON’S GENERALIZATION OF THE NEGATIVE BINOMIAL DISTRIBUTION
DOI:
https://doi.org/10.22452/mjs.vol38no2.5Abstract
This paper examines the properties, applications to empirical modelling and computation of probabilities of Kempton’s generalization of the negative binomial and log-series distributions. The important properties of infinite divisibility and unimodality have been derived. To facilitate computation of the complicated probabilities, practical implementation of the three-term probability recurrence relations is presented. Although the generalization of the negative binomial and log-series distributions have been formulated to fit extremely long-tailed count data, the versatility of this generalized negative binomial distribution to fit short-tailed and long-tailed data is illustrated.
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