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Abstract Details
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Activity Number:
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12
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #304353 |
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Title:
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The Conway-Maxwell-Poisson Distribution and Extensions
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Author(s):
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Kimberly Flagg Sellers*+
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Companies:
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Georgetown University
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Address:
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306 St. Mary's Hall, Washington, DC, , USA
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Keywords:
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count data ;
overdispersion ;
underdispersion ;
generalized Poisson
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Abstract:
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This talk will introduce the Conway-Maxwell-Poisson (COM-Poisson) distribution as a flexible count distribution that allows for over- or under-dispersion. More than a generalized Poisson distribution, it also contains the geometric and Bernoulli distributions as special cases. I will discuss the associated statistical properties, and developments in various applications (e.g. regression analysis, control theory, etc.). Time permitting, I will also introduce a COM-Skellam distribution and regression (i.e. a generalized form of the Skellam distribution that also generalizes the difference of Bernoulli and geometric distributions, respectively) as a tool for paired comparisons.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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