ISBN-10:
0471355739
ISBN-13:
9780471355731
Pub. Date:
11/28/2001
Publisher:
Wiley
Generalized Linear Models: With Applications in Engineering and the Sciences / Edition 1

Generalized Linear Models: With Applications in Engineering and the Sciences / Edition 1

Hardcover

Current price is , Original price is $156.0. You

Temporarily Out of Stock Online

Please check back later for updated availability.

This item is available online through Marketplace sellers.

Overview

Includes thorough treatment of logistic and Poisson regression.

• Introduction to generalized estimating questions.

• Numerous examples in fields ranging from biology and biopharmaceuticals to engineering and quality assurance.

• Provides guidance in using widely available software to illustrate all aspects of model-fitting, inference, and diagnostic testing.

Product Details

ISBN-13: 9780471355731
Publisher: Wiley
Publication date: 11/28/2001
Series: Wiley Series in Probability and Statistics Series , #356
Edition description: Older Edition
Pages: 364
Product dimensions: 6.36(w) x 9.33(h) x 0.91(d)

About the Author

RAYMOND H. MYERS is Professor Emeritus in the Department of Statistics at Virginia Tech in Blacksburg, Virginia.

DOUGLAS C. MONTGOMERY is Professor in the Department of Industrial Engineering at Arizona State University in Tempe, Arizona.

G. GEOFFREY VINING is Professor and Head of the Department of Statistics at Virginia Tech in Blacksburg, Virginia.

Table of Contents

Preface.

1. Introduction to Generalized Linear Models.

2. Linear Regression Models.

3. Nonlinear Regression Models.

4. Logistic and Poisson Regression Models.

5. The Family of Generalized Linear Models.

6. Generalized Estimating Equations.

7. Further Advances and Applications in GLM.

Appendix 1: Background on Basic Test Statistics.

Appendix 2: Background from the Theory of Linear Models.

Appendix 3: The Gauss-Markov Theroem.

Appendix 4: The Relationship Between Maximum Likelihood Estimation of the Logistic Regression Model and Weighted Least Squares.

Appendix 5: Computational Details for GLMs for a Canonical Link.

Appendix 6: Computational Details for GLMs for a Noncanonical Link.

References.

Index.

Customer Reviews

Most Helpful Customer Reviews

See All Customer Reviews