رگرسیون و مدل‌سازی خطی ۲۰۱۶
Regression & Linear Modeling 2016

1. Cover

2. Half Title

3. Publisher Note

4. Title Page

5. Copyright Page

6. Brief Contents

7. Detailed Contents

8. Preface

9. Acknowledgments

10. About the Author

1 A Nerdly Manifesto

2 Basic Estimation and Assumptions

3 Simple Linear Models With Continuous Dependent VariablesSimple Regression Analyses

4 Simple Linear Models With Continuous Dependent VariablesSimple ANOVA Analyses

5 Simple Linear Models With Categorical Dependent VariablesBinary Logistic Regression

6 Simple Linear Models With Polytomous Categorical Dependent VariablesMultinomial and Ordinal Logistic Regression

7 Simple Curvilinear Models

8 Multiple Independent Variables

9 Interactions Between Independent VariablesSimple Moderation

10 Curvilinear Interactions Between Independent Variables

11 Poisson ModelsLow-Frequency Count Data as Dependent Variables

12 Log-Linear ModelsGeneral Linear Models When All of Your Variables Are Unordered Categorical

13 A Brief Introduction to Hierarchical Linear Modeling

14 Missing Data in Linear Modeling

15 Trustworthy ScienceImproving Statistical Reporting

16 Reliable Measurement Matters

17 Prediction in the Generalized Linear Model

18 Modeling in Large, Complex SamplesThe Importance of Using Appropriate Weights and Design Effect Compensation

29. Appendix A A Brief User’s Guide to z-Scores

30. Author Index

31. Index