Title | Computing with the COM-Poisson Distribution |
Publication Type | Working Paper |
Year of Publication | 2003 |
Authors | Minka, T. P., G. Shmueli, J. B. Kadane, S. Borle, and P. Boatwright |
Series Title | Technical Report #776 |
Institution | Dept. of Statistics, Carnegie Mellon University |
Abstract | The Conway-Maxwell-Poisson (COM-Poisson) is a generalization of the Poisson distribution which can model both under-dispersed and over-dispersed data. However, the distribution, moments, and MLE cannot be computed in closed form. This paper describes computational schemes and handy approximations for the COM-Poisson. |
URL | http://www.stat.cmu.edu/cmu-stats/tr/tr776/tr776.pdf |
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