Negative binomial regression 1st Edition by Joseph M. Hilbe – Ebook PDF Instant Download/Delivery: 0521857724, 978-0521857727
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Product details:
ISBN 10: 0521857724
ISBN 13: 978-0521857727
Author: 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.
Table of contents:
Preface
Introduction
The Concept of Risk
Overview of Count Response Models
Methods of Estimation and Assessment
Assessment of Count Models
Poisson Regression
Overdispersion
Negative Binomial Regression
Negative Binomial Regression: Modeling
Alternative Variance Parameterizations
Problems with Zero Counts
Censored and Truncated Count Models
Handling Endogeneity and Latent Class Models
Count Panel Models
Bayesian Negative Binomial Models
Appendices
A. Constructing and Interpreting Interactions
B. Data Sets and Stata Files
References
Index
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Tags:
Joseph M Hilbe,Negative,binomial regression