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Logistic Regression Models
About this book
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models t
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Yes, you can access Logistic Regression Models by Joseph M. Hilbe in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front cover
- Contents
- Preface
- Chapter 1. Introduction
- Chapter 2. Concepts Related to the Logistic Model
- Chapter 3. Estimation Methods
- Chapter 4. Derivation of the Binary Logistic Algorithm
- Chapter 5. Model Development
- Chapter 6. Inteactions
- Chapter 7. Analysis of Model Fit
- Chapter 8. Binomial Logistic Regression
- Chapter 9. Overdispersion
- Chapter 10. Ordered Logistic Regression
- Chapter 11. Multinomial Logistic Regression
- Chapter 12. Alternative Categorical Response Models
- Chapter 13. Panel Models
- Chapter 14. Other Types of Logistic-Based Models
- Chapter 15. Exact Logistic Regression
- Conclusion
- Appendix A: Brief Guide to Using Stata Commands
- Appendix B: Stata and R Logistic Models
- Appendix C: Greek Letters and Major Functions
- Appendix D: Stata Binary Logistic Command
- Appendix E: Derivation of the Beta Binomial
- Appendix F: Likelihood Function of the Adaptive Gauss-Hermite Quadrature Method of Estimation
- Appendix G: Data Sets
- Appendix H: Marginal Effects and Discrete Change
- References
- Author Index
- Subject Index
- Back cover