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Appendix B: Using Simulations to Examine Assumptions of OLS Regression
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John P. Hoffmann
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Chapters in this book
- Frontmatter i
- Contents vii
- Preface xi
- Acknowledgments xv
- 1. Review of Linear Regression Models 1
- 2. Categorical Data and Generalized Linear Models 39
- 3. Logistic and Probit Regression Models 63
- 4. Ordered Logistic and Probit Regression Models 87
- 5. Multinomial Logistic and Probit Regression Models 111
- 6. Poisson and Negative Binomial Regression Models 131
- 7. Event History Models 159
- 8. Regression Models for Longitudinal Data 189
- 9. Multilevel Regression Models 207
- 10. Principal Components and Factor Analysis 243
- Appendix A: SAS, SPSS, and R Code for Examples in Chapters 269
- Appendix B: Using Simulations to Examine Assumptions of OLS Regression 383
- Appendix C: Working with Missing Data 389
- References 397
- Index 403
Chapters in this book
- Frontmatter i
- Contents vii
- Preface xi
- Acknowledgments xv
- 1. Review of Linear Regression Models 1
- 2. Categorical Data and Generalized Linear Models 39
- 3. Logistic and Probit Regression Models 63
- 4. Ordered Logistic and Probit Regression Models 87
- 5. Multinomial Logistic and Probit Regression Models 111
- 6. Poisson and Negative Binomial Regression Models 131
- 7. Event History Models 159
- 8. Regression Models for Longitudinal Data 189
- 9. Multilevel Regression Models 207
- 10. Principal Components and Factor Analysis 243
- Appendix A: SAS, SPSS, and R Code for Examples in Chapters 269
- Appendix B: Using Simulations to Examine Assumptions of OLS Regression 383
- Appendix C: Working with Missing Data 389
- References 397
- Index 403