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Applied Linear Regression

Sanford Weisberg
Publisher: 
John Wiley
Publication Date: 
2005
Number of Pages: 
336
Format: 
Hardcover
Edition: 
3
Series: 
Wiley Series of Probability and Statistics
Price: 
105.00
ISBN: 
978-0-471-66379-9
Category: 
Textbook
BLL Rating: 

The Basic Library List Committee considers this book essential for undergraduate mathematics libraries.

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Preface.

1. Scatterplots and Regression.

2. Simple Linear Regression.

3. Multiple Regression.

4. Drawing Conclusions.

5. Weights, Lack of Fit, and More.

6. Polynomials and Factors.

7. Transformations.

8. Regression Diagnostics: Residuals.

9. Outliers and Influence.

10. Variable Selection.

11. Nonlinear Regression.

12. Logistic Regression.

Appendix A.1. Web Site.

Appendix A.2. Means and Variances of Random Variables.

Appendix A.3. Least Squares for Simple Regression.

Appendix A.4. Means and Variances of Least Squares Estimates.

Appendix A.5. Estimating E(Y/X) Using a Smoother.

Appendix A.6. A Brief Introduction to Matrices and Vectors.

Appendix A.7. Random Vectors.

Appendix A.8. Least Squares Using Matrices.

Appendix A.9. The QR Factorization.

Appendix A.10. Maximum Likelihood Estimates.

Appendix A.11. The Box-Cox Method for Transformations.

Appendix A.12. Case Deletion in Linear Regression.

References.

Author Index.

Subject Index.

Dummy View - NOT TO BE DELETED