The COM-Poisson Model for Count Data : A Survey of Methods and Applications

@inproceedings{Sellers2010TheCM,
  title={The COM-Poisson Model for Count Data : A Survey of Methods and Applications},
  author={Kimberly F. Sellers and Sharad Borle and Galit Shmueli},
  year={2010}
}
The Poisson distribution is a popular distribution for modeling count data, yet it is constrained by its equi-dispersion assumption, making it less than ideal for modeling real data that often exhibit overor under-dispersion. The COM-Poisson distribution is a two-parameter generalization of the Poisson distribution that allows for a wide range of overand under-dispersion. It not only generalizes the Poisson distribution, but also contains the Bernoulli and geometric distributions as special… CONTINUE READING

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