Negative Binomial Regression
Indexed incrossref
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…
Citation impact
760
total citations
- FWCI
- 24.15
- Percentile
- 100%
- References
- 0
Citations per year
Authors
1Topics & keywords
Keywords
- Negative binomial distribution
- Overdispersion
- Count data
- Quasi-likelihood
- Poisson regression
- Poisson distribution
- Computer science
- Statistics
No related works found for this paper.