Negative Binomial Regression
Joseph M. Hilbe
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 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
類別:
年:
2007
版本:
1
出版商:
Cambridge University Press
語言:
english
頁數:
251
ISBN 10:
0521857724
ISBN 13:
9780521857727
文件:
PDF, 5.17 MB
IPFS:
,
english, 2007