Answers are grounded in this paper and cite their sources.
A two-parameter generalization of the Poisson distributions, called the “hyper-Poisson” family, is derived and discussed. It is in turn a special case of the three-parameter confluent hypergeometric series distributions. When one parameter is fixed, the hyper-Poisson distributions are also power series distributions. The distributions are classified as “sub-Poisson” or “super-Poisson” according as the variance is less than or greater than the mean. The latter category includes the truncated Poisson distributions. Certain properties of the hyper-Poisson distributions are considered, including moment, modified moment, and maximum likelihood estimators of the parameters. Estimation using moments is illustrated on Student's haemacytometer data.
No takes yet. Share an insight, caveat, or question.
Bardwell et al. (1964) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: