Skip to content
Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Cart
Register Sign in Wishlist

Negative Binomial Regression

$86.00

  • Date Published: August 2007
  • availability: Replaced by 9780521198158
  • format: Hardback
  • isbn: 9780521857727

$86.00
Hardback

Replaced by 9780521198158
Unavailable Add to wishlist

Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
About the Authors
  • 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.

    • First book devoted entirely to the negative binomial model and all its varieties
    • Every model currently offered in a commercial statistical software package is discussed in detail; data sets and additional code on a companion website
    • Includes end of chapter review questions allowing readers to monitor their understanding of the material presented
    Read more

    Reviews & endorsements

    "The test is well-written, easy-to-read but once started, is difficult to put down as each chapter unfolds the intracacies of the distribution."
    C.M. O'Brien, International Statistical Review

    "A good starting point for those who are not familiar with this topic... 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

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: August 2007
    • format: Hardback
    • isbn: 9780521857727
    • length: 264 pages
    • dimensions: 234 x 158 x 18 mm
    • weight: 0.55kg
    • contains: 20 b/w illus.
    • availability: Replaced by 9780521198158
  • Table of Contents

    Preface
    Introduction
    1. Overview of count response models
    2. Methods of estimation
    3. The Poisson model
    4. Overdispersion
    5. Negative binomial regression: basics
    6. Negative binomial regression: modeling
    7. Alternative variance parameterizations
    8. Problems with zero counts
    9. Negative binomial with censoring, truncation, and sample selection
    10. Negative binomial panel models
    Appendix A: Negative binomial log-likelihood functions
    Appendix B: Deviance functions
    Appendix C: ML negative binomial Code
    Appendix D: Negative binomial variance functions
    Appendix E: Data sets
    References
    Author index
    Index.

  • general resources

    View all resources
    Group Section Name Type Size Sort Order filter vars
    General ResourcesData FilesSAS DatasetZIP4344KB0data files general resources data files general resourcesdata files
    General ResourcesData FilesR DatasetZIP7399KB1data files general resources data files general resourcesdata files
    General ResourcesData FilesStata 8&9 DatasetZIP3529KB2data files general resources data files general resourcesdata files
    General ResourcesData FilesLimdep DatasetsZIP1109KB3data files general resources data files general resourcesdata files
    General ResourcesData FilesExcel DatasetsZIP12843KB4data files general resources data files general resourcesdata files
    General ResourcesData FilesStata CommandsZIP86KB5data files general resources data files general resourcesdata files
    General ResourcesData FilesStata DatasetsZIP3526KB6data files general resources data files general resourcesdata files
    General ResourcesData FilesSPSS DatasetZIP3431KB7data files general resources data files general resourcesdata files
    General ResourcesErrataErrata 2nd Printingpdf58KB8errata general resources errata general resourceserrata
    General ResourcesErrataErrata 1st Printingpdf111KB9errata general resources errata general resourceserrata

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Author

    Joseph M. Hilbe, Arizona State University
    Joseph M. Hilbe is a Solar System Ambassador with NASA's Jet Propulsion Laboratory at the California Institute of Technology, an adjunct professor of statistics at Arizona State University, and an emeritus professor at the University of Hawaii. Professor Hilbe is an elected fellow of the American Statistical Association and an elected member of the International Statistical Institute (ISI), for which he is Chair of the ISI International Astrostatistics Network. He is the author of Logistic Regression Models (Chapman and Hall/CRC, 2009), a leading text on the subject, and co-author of R for Stata Users (Springer, 2010, with R. Muenchen), Generalized Estimating Equations (Chapman and Hall/CRC, 2002, with J. Hardin) and Generalized Linear Models and Extensions (Stata Press, 2001 and 2007, also with J. Hardin).

also by this author

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Find content that relates to you

© Cambridge University Press 2014

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×