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Applied Regression Analysis

Norman R. Draper and Harry Smith
Publisher: 
John Wiley
Publication Date: 
1998
Number of Pages: 
736
Edition: 
3
Series: 
Wiley Series in Probability and Statistics
Price: 
150.00
ISBN: 
978-0471170822
Category: 
Textbook
BLL Rating: 

The Basic Library List Committee strongly recommends this book for acquisition by undergraduate mathematics libraries.

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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 Durbin-Watson 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 R¯2.

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.

Dummy View - NOT TO BE DELETED