Negative binomial regression

✍ Scribed by Joseph M Hilbe

• Publisher: Cambridge University Press
• Year: 2007
• Tongue: English
• Leaves: 263
• Category: Library

✦ Synopsis

"Written 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 modeling guidelines, model selection techniques, methods of interpretation, and assessment of model goodness of fit. Data sets and modeling code are provided on a companion website."--BOOK JACKET. Read more... Overview of count response models -- Methods of estimation -- Poisson regression -- Overdispersion -- Negative binomial regression -- Negative binomial regression: modeling -- Alternative variance parameterizations -- Problems with zero counts -- Negative binomial with censoring, truncation, and sample selection -- Negative binomial panel models

✦ Table of Contents

Frontmatter......Page 1
Contents......Page 5
Preface......Page 9
Introduction......Page 13
1 - Overview of count response models......Page 20
2 - Methods of estimation......Page 31
3 - Poisson regression......Page 51
4 - Overdispersion......Page 63
5 - Negative binomial regression......Page 89
6 - Negative binomial regression: modeling......Page 111
7 - Alternative variance parameterizations......Page 148
8 - Problems with zero counts......Page 172
9 - Negative binomial with censoring, truncation, and sample selection......Page 191
10 - Negative binomial panel models......Page 210
Appendix A - Negative binomial log-likelihood functions......Page 245
Appendix B - Deviance functions......Page 248
Appendix C - Stata negative binominal - ML algorithm......Page 249
Appendix D - Negative binomial variance functions......Page 251
Appendix E - Data sets......Page 252
References......Page 254
Author Index......Page 259
Subject Index......Page 261