First Advisor

Lalonde, Trent

Document Type

Dissertation

Date Created

5-2018

Department

College of Education and Behavioral Sciences, Applied Statistics and Research Methods, ASRM Student Work

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

Comments

Spring 2018 Graduate Dean's Citation for Outstanding Thesis, Dissertation, and Capstone

Rights Statement

Copyright is held by the author.

Share

COinS