Generalized Linear Models
with Applications in Engineering and the Sciences
Published on 8. November 2001
Book
Hardback
XIV, 350 pages
978-0-471-35573-1 (ISBN)
Description
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.
* 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.
Reviews / Votes
"...fulfills the need for an introductory textbook on the generalized linear model..." (Quarterly of Applied Mathematics, Vol. LX, No. 2, June 2002) "...recommended for students, engineers, scientists, and statisticians who want to familiarize themselves with generalized linear models." (Mathematical Reviews, 2002j) "...an excellent, up--to--date introduction to the field...easily used as a user guide...those less mathematically minded have no need to fear this book... I recommend this book to you all and am delighted to have had the opportunity to review it." (Statistical Methods in Medical Research, Vol. 11, 2002) "...a good textbook a good reference..." (The American Statistician, Vol. 57, No. 1, February 2003)More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
references
Dimensions
Height: 24.1 cm
Width: 16.3 cm
Weight
640 gr
ISBN-13
978-0-471-35573-1 (9780471355731)
Schweitzer Classification
Other editions
New editions
Raymond H. Myers | Douglas C. Montgomery | G. Geoffrey Vining
Generalized Linear Models
with Applications in Engineering and the Sciences
Book
04/2010
2nd Edition
Wiley
€159.50
Shipment within 10-20 days
Persons
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.
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.
Content
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.
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.