Response Surface Methodology
Process and Product Optimization Using Designed Experiments
2nd Edition
Published on 5. February 2002
Book
Hardback
XVIII, 806 pages
978-0-471-41255-7 (ISBN)
Description
This book deals with the exploration and optimization of response surfaces, an important issue to experts in a broad range of fields. It features chapters on building empirical models, process improvement with steepest ascent, analysis of response surfaces, experimental designs for fitting response surfaces, process robustness studies, and more.
Reviews / Votes
"...illustrates very well modeling experimental data using regression and response surface ideas...I recommend it highly." (Journal of Statistical Computation and Simulation, January 2006) "A textbook for a graduate level course on the optimization of response surfaces under experiment." (SciTech Book News, Vol. 26, No. 2, June 2002) "...highly recommended for purchase by all readers of this journal..." (Technometrics, Vol. 44, No. 3, August 2002) "This book remains an excellent choice as a textbook...as well as for use by practitioners..." (Journal of the American Statistical Association, December 2002)More details
Series
Edition
2., Auflage
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
references, index
Dimensions
Height: 24 cm
Width: 16.1 cm
Weight
1219 gr
ISBN-13
978-0-471-41255-7 (9780471412557)
Schweitzer Classification
Other editions
New editions
Raymond H. Myers | Douglas C. Montgomery | Christine M. Anderson-Cook
Response Surface Methodology
Process and Product Optimization Using Designed Experiments
Book
01/2009
3rd Edition
Wiley
€169.00
Article exhausted; check for reprint
Persons
RAYMOND H. MYERS, PhD, is Professor Emeritus in the Department of Statistics at Virginia Polytechnic Institute and State University.
DOUGLAS C. MONTGOMERY, PhD, is Professor in the Department of Industrial Engineering at Arizona State University.
DOUGLAS C. MONTGOMERY, PhD, is Professor in the Department of Industrial Engineering at Arizona State University.
Content
Preface.
1. Introduction.
2. Statistical Foundation for Comparison.
3. Comparison in Linear Models.
4. Nonparametric Comparison.
5. Comparison of Rates.
6. Comparison in Generalized Linear Models.
7. Additional Topics of Comparison in Generalized Linear Models.
8. Comparison in Structural Equation Modeling.
9 Comparison with Categorical Latent Variables.
10. Comparison in Multilevel Analysis.
References.
Index.
1. Introduction.
2. Statistical Foundation for Comparison.
3. Comparison in Linear Models.
4. Nonparametric Comparison.
5. Comparison of Rates.
6. Comparison in Generalized Linear Models.
7. Additional Topics of Comparison in Generalized Linear Models.
8. Comparison in Structural Equation Modeling.
9 Comparison with Categorical Latent Variables.
10. Comparison in Multilevel Analysis.
References.
Index.