Response Surface Methodology: Process and Product Optimization Using Designed Experiments: Process and Product Optimization Using Designing Experiments (Wiley Series in Probability and Statistics) - Hardcover

Myers, Raymond H.; Montgomery, Douglas C.

Hardcover

ISBN 10: 0471581003 ISBN 13: 9780471581000

Publisher: Wiley–Blackwell, 1995

Synopsis

Covers the exploration and optimization of response surfaces. This is a problem faced by experimenters in many technical fields, where there is an uncontrolled variable of interest and there is also a set of controlled variables. In some systems researchers will know the physical relationship between y and x′s, but commonly they do not and must build an empirical model called a response surface model.

About this title

Review

" 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)

"...I recommend this book to anyone who would like a good, solid understanding of response surface methodology...easy to read, easy to understand, and very applicable...the examples are excellent and facilitate learning of the concepts and methods." (Journal of Quality Technology, Vol. 35, No. 4, October 2003)

" 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)

From the Back Cover

Gets you quickly up and running with the full range of powerful statistical experimental design, modeling, and optimization techniques

Coauthored by widely recognized experts in the fields of quality control and the design of experiments, this book is a practical guide to Response Surface Methodology (RSM) the process of identifying and fitting an appropriate response surface model from experimental data. While in the opening chapters the authors lay down the basic conceptual groundwork preliminary to a working understanding of the methods described, the bulk of the book is devoted to providing students and professionals with clear, step–by–step guidance on the use of powerful statistical and empirical modeling techniques that have proven their efficacy in industry. Throughout, numerous real–world examples help illuminate critical points covered, and chapter–end problems help you to gauge your command of the concepts and procedures described. Important topics covered include:

• Two–level factorial and fractional factorial designs
• Empirical modeling using regression techniques
• Elementary optimization methods
• Classical and modern response surface designs
• Robust parameter design methodology
• Mixture experiments
• Computer–aided design and problem–solving techniques
• And much more

Providing clear, hands–on guidance to the application of some of today′s most useful techniques, Response Surface Methodology is an essential working resource for process development and quality engineering professionals, engineering designers, product formulators, engineers, chemists, and all those whose professional activities involve the design of experiments.

Edition details

• Publisher: Wiley–Blackwell
• Publication date: 1995
• ISBN 10: 0471581003
• ISBN 13: 9780471581000
• Binding: Hardcover
• Language: English
• Number of pages: 728