Online Program Home
My Program

Abstract Details

Activity Number: 311 - SPEED: Environment and Health, Governmental Policies and Population Surveys, Part 2
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 9:25 AM to 10:10 AM
Sponsor: Health Policy Statistics Section
Abstract #307699
Title: On the Small Count Inflated Poisson Distribution
Author(s): Michael Floren* and Trent L Lalonde
Companies: Misericordia Univerisity and University of Northern Colorado
Keywords: count; fmm; zip; scip

Inflated count distributions are used in situations where counts of an underlying distribution of a population are larger than expected by traditional count distributions, a situation often observed for high risk health behaviors. 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.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program