Creator

Michael Floren

Advisor

Lalonde, Trent

Committee Member

Shafie, Khalil

Committee Member

Schaffer, Jay

Committee Member

Sileo, Nancy

Department

Applied Statistics and Research Methods

Institution

University of Northern Colorado

Type of Resources

Text

Place of Publication

Greeley (Colo.)

Publisher

University of Northern Colorado

Date Created

5-2018

Extent

130 pages

Digital Origin

Born digital

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.

Degree type

PhD

Degree Name

Doctoral

Local Identifiers

Floren_unco_0160D_10638

Rights Statement

Copyright is held by the author.

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