Negative Binomial Regression
- Author: Joseph M. Hilbe, Jet Propulsion Laboratory, California Institute of Technology; and Arizona State University
Adobe eBook Reader
Other available formats:
Looking for an inspection copy?
This title is not currently available for inspection. However, if you are interested in the title for your course we can consider offering an inspection copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation and evaluation. Complete Stata and R codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data.Read more
- Fully revised to incorporate recent software developments
- Every model currently offered in a commercial statistical software package is discussed in detail
- Data sets and additional code available on a companion website
Reviews & endorsements
'Students, developers, and practitioners in this area will all want to have this thorough guide close at hand. The wealth of theory and extensive applications using 'real' data sets and contemporary software will provide a crucial resource for their research.' William Greene, New York UniversitySee more reviews
'This is a well-researched practically oriented book on an important class of models relevant to over-dispersed count data. Recommended.' John Nelder, Imperial College London
'Every model currently offered in commercial statistical software is discussed in detail … well written and can serve as an excellent reference book for applied statisticians who would use negative binomial regression modelling for undergraduate students or graduate students.' Yuehua Wu, Zentralblatt MATH
'I would recommend this book to researchers and students who would like to gain an overview of the negative binomial distribution and its extensions.' Fiona McElduff, University College London
'The text is well-written, easy-to-read but once started, is difficult to put down as each chapter unfolds the intricacies of the distribution.' International Statistical Review
'The second edition of Negative Binomial Regression is a unique statistical textbook. It is a very enjoyable read! It not only provides statistical fundamentals, but also provides historical perspectives and expert insights. This book is an excellent introduction for someone new to modeling count data, as well as an invaluable resource for the experienced practitioner grappling with complex overdispersed data.' Elizabeth Kelly, Statistical Sciences Group, Los Alamos National Laboratory
'As with all of Joe Hilbe's books this text is thorough and scholarly with an extensive list of references. Important theorems and other theoretical results are presented but are presented to be informative rather than to develop and teach the theory.' Michael R. Chernick, Significance
'… a valuable hands-on introduction to negative binomial regression and the analysis of count data in general. I am also pleased to see an advocation of the utility of the negative binomial distribution in applied work.' Psychometrika
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Edition: 2nd Edition
- Date Published: March 2011
- format: Adobe eBook Reader
- isbn: 9781139005968
- contains: 36 b/w illus. 170 tables
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
2. The concept of risk
3. Overview of count response models
4. Methods of estimation and assessment
5. Assessment of count models
6. Poisson regression
8. Negative binomial regression
9. Negative binomial regression: modeling
10. Alternative variance parameterizations
11. Problems with zero counts
12. Censored and truncated count models
13. Handling endogeneity and latent class models
14. Count panel models
15. Bayesian negative binomial models
Appendix A. Constructing and interpreting interactions
Appendix B. Data sets and Stata files
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.
Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.
Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.
If you are having problems accessing these resources please contact email@example.com.
Instructors have used or reviewed this title for the following courses
- Applied Data Analysis
- Psychological Statistics ll
- Statistics for Demographic Data 2
Sorry, this resource is locked