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Activity Number:
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238
- SPEED: Environment and Health, Governmental Policies and Population Surveys, Part 1
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Type:
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Contributed
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Date/Time:
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Monday, July 29, 2019 : 2:00 PM to 3:50 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract #301821
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Title:
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On the Small Count Inflated Poisson Distribution
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Author(s):
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Michael Floren* and Trent L Lalonde
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Companies:
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Misericordia Univerisity and University of Northern Colorado
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Keywords:
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count;
fmm;
zip;
scip
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Abstract:
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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.
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Authors who are presenting talks have a * after their name.
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