SAS System for Regression, Second Edition
SAS System for Regression, Rudolf J. Freund, Ph.D. and Ramon C. Littell, Ph.D.
Acknowledgments vii
About the Authors ix
Using This Book xi
Chapter 1 Regression Concepts
- Statistical Background with the IML Procedure
- Performing a Regression with the IML Procedure
- Regression with the SAS System
-
Chapter 2 Using the REG Procecure
- Introduction
- A Model with One Independent Variable
- A Model with Several Independent Variables
- Various MODEL Statement Options
- Further Examination of Model Parameters
- Examining Observations
- Creating Data: the OUTPUT Statement
- Predicting to a Different Set of Dat
- Exact Collinearity: Linear Dependency
- Summary
Chapter 3 Observations
- Introduction
- Outlier Detection
- Specification Errors
- Heterogeneous Variances
- Correlated Errors
- Summary
Chapter 4 Multicollinearity: Detection and Remedial Measures
- Introduction
- Detecting Multicollinearity
- Model Restructuring
- Variable Selection
- Biased Estimation
- Summary
Chapter 5 Polynomial Models
- Introduction
- Polynomial Models with One Independent Variable
- Polynomial Plots
- Polynomial Models with Several Variables
- Response Surface Plots
- A Three-Factor Response Surface Experiment
- Summary
Chapter 6 Special Applications of Linear Models
- Introduction
- Log-Linear (Multiplicative) Models
- Spline Models
- Indicator Variables
- Summary
Chapter 7 Nonlinear Models
- Introduction
- Estimating the Exponential Decay Model
- Fitting a Growth with the NLIN Procedure
- Fitting Splines with Unknown Knots
- Additional Comments on the NLIN Procedure
- Summary
Appendix Example Code 189
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Index