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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 - #305958 |
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Title:
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Methods of Handling Extra-Dispersion in Negative Binomial Models
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Author(s):
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Joseph Hilbe*+
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Companies:
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Arizona State University
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Address:
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7242 W. Heritage Way, Florence, AZ, 85132,
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Keywords:
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Poisson ;
negative binomial ;
extra-dispersion ;
generalized negative binomial ;
generalized Poisson ;
Poisson inverse Gaussian
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Abstract:
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Normally when researchers consider extra-dispersed count data, they are thinking of extra-dispersion that may be found in Poisson models. The far majority of Poisson extra-dispersed models are in fact over-dispersed models. A number of methods have been designed to identify and adjust for Poisson overdispersion. However, NB2 negative binomial models may also be extra-dispersed, but they are in general as likely to be under-dispersed as over-dispersed. This paper looks at the sources of negative binomial extra-dispersion, and provides guidelines on the type of models that can be used to adjust for it.
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