First Advisor
Lalonde, Trent
Document Type
Dissertation
Date Created
5-2018
Abstract
Inflated count distributions are used in situations where counts of an underlying distribution of a population are larger than expected by traditional count distributions. One of the most commonly used inflated count distributions is the zero-inflated Poisson distribution. This work demonstrates the construction of a small count inflated Poisson distribution, of which the zero-inflated Poisson distribution is a special case. Model construction and parameter estimation are shown. Simulations analyzing asymptotic properties, group prediction, and count prediction are presented. Conclusions and recommendations for future research are discussed.
Extent
130 pages
Local Identifiers
Floren_unco_0160D_10638
Rights Statement
Copyright is held by the author.
Recommended Citation
Floren, Michael, "On the Small Count Inflated Poisson Distribution" (2018). Dissertations. 496.
https://digscholarship.unco.edu/dissertations/496