bookCambridge University Press eBooksAug 23, 2007Closed access

Negative Binomial Regression

Arizona State University

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Abstract

At last - a book devoted to the negative binomial model and its many variations. Every model currently offered in commercial statistical software packages is discussed in detail - how each is derived, how each resolves a distributional problem, and numerous examples of their application. Many have never before been thoroughly examined in a text on count response models: the canonical negative binomial; the NB-P model, where the negative binomial exponent is itself parameterized; and negative binomial mixed models. As the models address violations of the distributional assumptions of the basic Poisson model, identifying and handling overdispersion is a unifying theme. For practising researchers and…

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Topics & keywords

Keywords
  • Negative binomial distribution
  • Overdispersion
  • Count data
  • Quasi-likelihood
  • Poisson regression
  • Poisson distribution
  • Computer science
  • Statistics
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