Sampling from the generalized logarithmic series distribution

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2 Scopus citations


A two parameter generalized logarithmic series distribution is used to model the number of publications written by biologists. In this paper, some methods of sampling from the generalized logarithmic series distribution are presented. The inversion algorithm is compared with algorithms based on rejection and branching methods. For small values of the parameters, the inversion algorithm seems to be faster than other algorithms. The paper recommends a modified algorithm based on the inversion and branching methods.

Original languageEnglish
Pages (from-to)365-375
Number of pages11
JournalComputing (Vienna/New York)
Issue number4
StatePublished - 1997


  • Branching method
  • Generalized logarithmic series sampling
  • Inversion method
  • Monotone distribution
  • Rejection method


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