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Activity Number:
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351
- Contributed Poster Presentations: Section for Statistical Programmers and Analysts
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Type:
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Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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Abstract #322686
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Title:
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Conway-Maxwell-Poisson Process Implementation in R
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Author(s):
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Diag Davenport* and Kimberly F Sellers and Darcy Morris and Li Zhu
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Companies:
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Georgetown University and Georgetown University and Center for Statistical Research & Methodology, U.S. Census Bureau and Georgetown University
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Keywords:
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Bernoulli process ;
Poisson process ;
count process ;
waiting time ;
dispersion ;
Conway-Maxwell-Poisson (COM-Poisson) distribution
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Abstract:
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The cmpprocess R package is a toolkit to enable analysts to better model count processes where data (under- or over-) dispersion exists. The package is the computational implementation of the Conway-Maxwell-Poisson (or COM-Poisson) process, which is a generalized homogeneous count process that includes the Bernoulli and Poisson processes as special cases. We will introduce the package and illustrate its flexibility (through several real dataset examples) to estimate both count processes and waiting-time distributions.
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Authors who are presenting talks have a * after their name.
