Table of Contents
Basic Prerequisite Knowledge
Fitting a Straight Line by Least Squares
Checking the Straight Line Fit
Fitting Straight Lines: Special Topics
Regression in Matrix Terms: Straight Line Case
The General Regression Situation
Extra Sums of Squares and Tests for Several Parameters Being Zero
Serial Correlation in the Residuals and the DurbinWatson Test
More of Checking Fitted Models
Multiple Regression: Special Topics
Bias in Regression Estimates, and Expected Values of Mean Squares and Sums of Squares
On Worthwhile Regressions, Big F's, and R2
Models Containing Functions of the Predictors, Including Polynomial Models
Transformation of the Response Variable
"Dummy" Variables
Selecting the "Best" Regression Equation
Ill-Conditioning in Regression Data
Ridge Regression
Generalized Linear Models (GLIM)
Mixture Ingredients as Predictor Variables
The Geometry of Least Squares
More Geometry of Least Squares
Orthogonal Polynomials and Summary Data
Multiple Regression Applied to Analysis of Variance Problems
An Introduction to Nonlinear Estimation
Robust Regression
Resampling Procedures (Bootstrapping)
Bibliography
True/False Questions
Answers to Exercises
Tables
Indexes
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