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

~ (Author), (Author) "In the practical application of response surface methodology (RSM) it is necessary to develop an approximating model for the true response surface..." (more)
Key Phrases: variance dispersion graphs, process robustness studies, transistor gain data, Source Squares, Sum of Mean, Final Equation (more...)

Editorial Reviews

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)

"...highly recommended for purchase by all readers of this journal..." -- Technometrics, Vol. 44, No. 3, August 2002

"A textbook for a graduate level course on the optimization of response surfaces under experiment." -- SciTech Book News, Vol. 26, No. 2, June 2002

Product Description

Now updated and revised
From the reviews of the First Edition . . .
"Truly a book that can be read by practitioners...Anyone who deals with designing experiments, the statistical analysis and modeling of data, and especially product or process improvement, including optimization, should have this book as a reference."
-Technometrics
"An excellent book for practitioners. Ownership...is a professional necessity."
-Journal of the American Statistical Association
Identifying and fitting an appropriate response surface model from experimental data requires knowledge of statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods. This book integrates these three topics into a comprehensive, state-of-the-art presentation of response surface methodology (RSM).
This new second edition has been substantially rewritten and updated to include new topics and material, new examples, and to more fully illustrate modern applications of RSM. The authors have made the computer a more integral part of their presentation, employing the most common and useful software packages. They bring an applied focus to the subject of RSM, emphasizing methods that are useful in industry for product and process design and development.
Features include:
* Coverage of two-level factorial and fractional factorial design, and empirical modeling of RSM
* Optimization techniques useful in RSM, including multiple responses
* Classical and modern response surface designs, including computer-generated designs
* The RSM approach to robust parameter design and process robustness studies
* Comprehensive treatment of mixture experiments
* Revised and expanded end-of-chapter problems, an extensive reference section, and valuable technical appendices on RSM
* Supported by Design-Expert software
Response Surface Methodology develops the underlying theory of RSM, describes the assumptions and conditions necessary to successfully apply it, and provides comprehensive and authoritative discussion of current topics for statisticians, engineers, and students.

See all Editorial Reviews

Product Details

• Hardcover: 824 pages
• Publisher: Wiley-Interscience; 2 edition (February 5, 2002)
• Language: English
• ISBN-10: 0471412554
• ISBN-13: 978-0471412557
• Product Dimensions: 9.2 x 6.2 x 1.8 inches
• Shipping Weight: 2.7 pounds (View shipping rates and policies)
• Average Customer Review: 4.2 out of 5 stars  See all reviews (6 customer reviews)
• Amazon.com Sales Rank: #884,104 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

24 of 24 people found the following review helpful:

5.0 out of 5 stars an improved second edition by two great writers, January 22, 2008

By	Michael R. Chernick "statman31147" (Holland PA) - See all my reviews (REAL NAME)

I took my first short course in response surface designs from Ray Myers at an IPE course. He was a great teacher and taught out of his first book. That book was self-published after he had disagreements with his original publisher. Many years later he and Doug Montgomery joined forces and published the first edition of this book with Wiley. I have reviewed that book previously for amazon.
This second edition is ideal. When I took the course I understood the material so well that I was able to apply the methodology right away in my work. The clarity of these authors is outstanding and they provide a wealth of well illustrated examples. It also is greatly expanded and has many student exercises at the end of each chapter. In addition to the standard response surface designs the book does a good job of coevring experimental design concepts in general and even covers Taguchi designs and robust parameter design. In addition topics such as mixture experiments and evolutionary operation are covered. Advanced topics include the generalized linear models and the general estimating equations approach to mixed effects models and repeated measures ANOVA.

Very authoritative with an extensive list of references and appendices to aid understanding.

15 of 16 people found the following review helpful:

5.0 out of 5 stars Excellent book, March 27, 1998

By A Customer

This review is from: Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Hardcover)

As a quality engineer for Xerox Mexicana, application of DOE and RSM is part of the day-to-day activities. This book is an excellent tutor to apply RSM. Highly recommended.

7 of 7 people found the following review helpful:

5.0 out of 5 stars The best RSM book out there! Does NOT miss the point., March 9, 2005

By	Joel M. Smith - See all my reviews (REAL NAME)

This book is the best Response Surface book available today and was used in my graduate Response Surface courses. Myers and Montgomery do not miss any points with this book - Expected Mean Squares and Nested Factorial Designs are part of the design and analysis of Factorial designs , which are a completely separate field of DOE. These points have no relevance in Response Surface Methodology.

If you are looking for an excellent book, this is the one for you! It includes many practical discussions on choosing the right design for your analysis (great for engineers), as well as details of the matrix algebra used in the analysis of response surface designs (great for methematicians or statisticians). You will not find a better book!