Startseite 6. Poisson and Negative Binomial Regression Models
Kapitel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

6. Poisson and Negative Binomial Regression Models

  • John P. Hoffmann
Weitere Titel anzeigen von University of California Press
Zur Verlagsseite
Regression Models for Categorical, Count, and Related Variables
Ein Kapitel aus dem Buch Regression Models for Categorical, Count, and Related Variables
© 2019 University of California Press, Berkeley

© 2019 University of California Press, Berkeley

Kapitel in diesem Buch

  1. Frontmatter i
  2. Contents vii
  3. Preface xi
  4. Acknowledgments xv
  5. 1. Review of Linear Regression Models 1
  6. 2. Categorical Data and Generalized Linear Models 39
  7. 3. Logistic and Probit Regression Models 63
  8. 4. Ordered Logistic and Probit Regression Models 87
  9. 5. Multinomial Logistic and Probit Regression Models 111
  10. 6. Poisson and Negative Binomial Regression Models 131
  11. 7. Event History Models 159
  12. 8. Regression Models for Longitudinal Data 189
  13. 9. Multilevel Regression Models 207
  14. 10. Principal Components and Factor Analysis 243
  15. Appendix A: SAS, SPSS, and R Code for Examples in Chapters 269
  16. Appendix B: Using Simulations to Examine Assumptions of OLS Regression 383
  17. Appendix C: Working with Missing Data 389
  18. References 397
  19. Index 403
https://doi.org/10.1525/9780520965492-008

Kapitel in diesem Buch

  1. Frontmatter i
  2. Contents vii
  3. Preface xi
  4. Acknowledgments xv
  5. 1. Review of Linear Regression Models 1
  6. 2. Categorical Data and Generalized Linear Models 39
  7. 3. Logistic and Probit Regression Models 63
  8. 4. Ordered Logistic and Probit Regression Models 87
  9. 5. Multinomial Logistic and Probit Regression Models 111
  10. 6. Poisson and Negative Binomial Regression Models 131
  11. 7. Event History Models 159
  12. 8. Regression Models for Longitudinal Data 189
  13. 9. Multilevel Regression Models 207
  14. 10. Principal Components and Factor Analysis 243
  15. Appendix A: SAS, SPSS, and R Code for Examples in Chapters 269
  16. Appendix B: Using Simulations to Examine Assumptions of OLS Regression 383
  17. Appendix C: Working with Missing Data 389
  18. References 397
  19. Index 403
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 8.9.2025 von https://www.degruyterbrill.com/document/doi/10.1525/9780520965492-008/html
Button zum nach oben scrollen