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Distributional analysis of a generalization of the Polya process
Authors:Gordon E Willmot
Institution:
  • Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
  • Abstract:A nonhomogeneous birth process generalizing the Polya process is analyzed, and the distribution of the transition probabilities is shown to be the convolution of a negative binomial distribution and a compound Poisson distribution, whose secondary distribution is a mixture of zero-truncated geometric distributions. A simplified form of the secondary distribution is obtained when the transition intensities have a particular structure, and may sometimes be expressed in terms of Stirling numbers and special functions such as the incomplete gamma function, the incomplete beta function, and the exponential integral. Conditions under which the compound Poisson form of the marginal distributions may be improved to a geometric mixture are also given.
    Keywords:Nonhomogeneous birth process  Negative binomial distribution  Compound Poisson distribution  Geometric distribution  Completely monotone  Mixture of geometrics  Logarithmic series distribution  STER distribution  Incomplete gamma function  Incomplete beta function  Exponential integral  Stirling numbers
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