Extended negative binomial distribution

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In probability and statistics the extended negative binomial distribution is a discrete probability distribution extending the negative binomial distribution. It is a truncated version of the negative binomial distribution [1] for which estimation methods have been studied. [2]

Contents

In the context of actuarial science, the distribution appeared in its general form in a paper by K. Hess, A. Liewald and K.D. Schmidt [3] when they characterized all distributions for which the extended Panjer recursion works. For the case m = 1, the distribution was already discussed by Willmot [4] and put into a parametrized family with the logarithmic distribution and the negative binomial distribution by H.U. Gerber. [5]

Probability mass function

For a natural number m ≥ 1 and real parameters p, r with 0 < p ≤ 1 and m < r < –m + 1, the probability mass function of the ExtNegBin(m,r,p) distribution is given by

and

where

is the (generalized) binomial coefficient and Γ denotes the gamma function.

Probability generating function

Using that f(.;m,r,ps) for s(0,1] is also a probability mass function, it follows that the probability generating function is given by

For the important case m = 1, hence r(–1,0), this simplifies to

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References

  1. Jonhnson, N.L.; Kotz, S.; Kemp, A.W. (1993) Univariate Discrete Distributions, 2nd edition, Wiley ISBN   0-471-54897-9 (page 227)
  2. Shah S.M. (1971) "The displaced negative binomial distribution", Bulletin of the Calcutta Statistical Association, 20, 143–152
  3. Hess, Klaus Th.; Anett Liewald; Klaus D. Schmidt (2002). "An extension of Panjer's recursion" (PDF). ASTIN Bulletin. 32 (2): 283–297. doi: 10.2143/AST.32.2.1030 . MR   1942940. Zbl   1098.91540.
  4. Willmot, Gordon (1988). "Sundt and Jewell's family of discrete distributions" (PDF). ASTIN Bulletin. 18 (1): 17–29. doi: 10.2143/AST.18.1.2014957 .
  5. Gerber, Hans U. (1992). "From the generalized gamma to the generalized negative binomial distribution". Insurance: Mathematics and Economics. 10 (4): 303–309. doi:10.1016/0167-6687(92)90061-F. ISSN   0167-6687. MR   1172687. Zbl   0743.62014.