Negative Binomial Regression

R 200.00  

Author: Joseph M. Hilbe
Publisher: Cambridge University Press (2007)
ISBN-10: 0521857724
ISBN-13: 9780521857727
Condition: Very Good. Some bumping with some very small tears at spine ends. Cover is slightly rubbed with minor wear at corners. Else an internally clean, well bound copy in very good condition.
Binding: Hardcover
Pages: 251
Dimensions: 23.2 x 15.5 x 1.6 cm

Weight: 0.62 kg
We currently have 1 in stock.

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 over-dispersion is a unifying theme.

For practicing researchers and statisticians who need to update their knowledge of Poisson and negative binomial models, the book provides a comprehensive overview of estimating methods and algorithms used to model counts, as well as specific guidelines on modeling strategy and how each model can be analyzed to access goodness-of-fit.

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