Book contents
- Frontmatter
- Contents
- Preface
- Chapter 1 Varieties of Count Data
- Chapter 2 Poisson Regression
- Chapter 3 Testing Overdispersion
- Chapter 4 Assessment of Fit
- Chapter 5 Negative Binomial Regression
- Chapter 6 Poisson Inverse Gaussian Regression
- Chapter 7 Problems with Zeros
- Chapter 8 Modeling Underdispersed Count Data – Generalized Poisson
- Chapter 9 Complex Data: More Advanced Models
- Appendix: SAS Code
- Bibliography
- Index
- References
Bibliography
Published online by Cambridge University Press: 05 August 2014
- Frontmatter
- Contents
- Preface
- Chapter 1 Varieties of Count Data
- Chapter 2 Poisson Regression
- Chapter 3 Testing Overdispersion
- Chapter 4 Assessment of Fit
- Chapter 5 Negative Binomial Regression
- Chapter 6 Poisson Inverse Gaussian Regression
- Chapter 7 Problems with Zeros
- Chapter 8 Modeling Underdispersed Count Data – Generalized Poisson
- Chapter 9 Complex Data: More Advanced Models
- Appendix: SAS Code
- Bibliography
- Index
- References
- Type
- Chapter
- Information
- Modeling Count Data , pp. 269 - 276Publisher: Cambridge University PressPrint publication year: 2014