×

Uh-oh, it looks like your Internet Explorer is out of date.

For a better shopping experience, please upgrade now.

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

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

by Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining
 

ISBN-10: 0471355739

ISBN-13: 9780471355731

Pub. Date: 11/28/2001

Publisher: Wiley

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

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)

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

Average Review:

Post to your social network

     

Most Helpful Customer Reviews

See all customer reviews