Sampling from the generalized logarithmic series distribution

@article{Famoye1997SamplingFT,
  title={Sampling from the generalized logarithmic series distribution},
  author={Felix Famoye},
  journal={Computing},
  year={1997},
  volume={58},
  pages={365-375}
}
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… CONTINUE READING