Ebook Response Surface Methodology: Process and Product Optimization Using Designed Experiments, by Raymond H. Myers, Douglas C. Montgomery, Chr
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Response Surface Methodology: Process and Product Optimization Using Designed Experiments, by Raymond H. Myers, Douglas C. Montgomery, Chr
Ebook Response Surface Methodology: Process and Product Optimization Using Designed Experiments, by Raymond H. Myers, Douglas C. Montgomery, Chr
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Praise for the Second Edition:
"This book [is for] anyone who would like a good, solid understanding of response surface methodology. The book is 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
Complete with updates that capture the important advances in the field of experimental design, Response Surface Methodology, Third Edition successfully provides a basic foundation for understanding and implementing response surface methodology (RSM) in modern applications. The book continues to outline the essential statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods that are needed to fit a response surface model from experimental data. With its wealth of new examples and use of the most up-to-date software packages, this book serves as a complete and modern introduction to RSM and its uses across scientific and industrial research.
This new edition maintains its accessible approach to RSM, with coverage of classical and modern response surface designs. Numerous new developments in RSM are also treated in full, including optimal designs for RSM, robust design, methods for design evaluation, and experiments with restrictions on randomization as well as the expanded integration of these concepts into computer software. Additional features of the Third Edition include:
-
Inclusion of split-plot designs in discussion of two-level factorial designs, two-level fractional factorial designs, steepest ascent, and second-order models
-
A new section on the Hoke design for second-order response surfaces
-
New material on experiments with computer models
-
Updated optimization techniques useful in RSM, including multiple responses
-
Thorough treatment of presented examples and experiments using JMP 7, Design-Expert Version 7, and SAS software packages
-
Revised and new exercises at the end of each chapter
-
An extensive references section, directing the reader to the most current RSM research
Assuming only a fundamental background in statistical models and matrix algebra, Response Surface Methodology, Third Edition is an ideal book for statistics, engineering, and physical sciences courses at the upper-undergraduate and graduate levels. It is also a valuable reference for applied statisticians and practicing engineers.
- Sales Rank: #1023698 in Books
- Published on: 2009-01-14
- Original language: English
- Dimensions: 10.30" h x 1.52" w x 7.30" l, 2.90 pounds
- Binding: Hardcover
- 704 pages
Review
“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.Working with the most useful software packages, the authors bring an applied focus that emphasizes models useful in industry for product and process design and development.”� (Zentralblatt Math, 1 October 2013)
"The third edition of a well-regarded text on response surface methodology. Christine M. Anderson-Cook, has been added … [bringing] an applied perspective to the material." (Mathematical Reviews, December 2009) From the Publisher
Using a practical approach, it discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques. Features numerous authentic application examples and problems. Illustrates how computers can be a useful aid in problem solving. Includes a disk containing computer programs for a response surface methodology simulation exercise and concerning mixtures.
From the Back Cover
Praise for the Second Edition:
"This book [is for] anyone who would like a good, solid understanding of response surface methodology. The book is 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
Complete with updates that capture the important advances in the field of experimental design, Response Surface Methodology, Third Edition successfully provides a basic foundation for understanding and implementing response surface methodology (RSM) in modern applications. The book continues to outline the essential statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods that are needed to fit a response surface model from experimental data. With its wealth of new examples and use of the most up-to-date software packages, this book serves as a complete and modern introduction to RSM and its uses across scientific and industrial research.
This new edition maintains its accessible approach to RSM, with coverage of classical and modern response surface designs. Numerous new developments in RSM are also treated in full, including optimal designs for RSM, robust design, methods for design evaluation, and experiments with restrictions on randomization as well as the expanded integration of these concepts into computer software. Additional features of the Third Edition include:
-
Inclusion of split-plot designs in discussion of two-level factorial designs, two-level fractional factorial designs, steepest ascent, and second-order models
-
A new section on the Hoke design for second-order response surfaces
-
New material on experiments with computer models
-
Updated optimization techniques useful in RSM, including multiple responses
-
Thorough treatment of presented examples and experiments using JMP� 7, Design-Expert� Version 7, and SAS� software packages
-
Revised and new exercises at the end of each chapter
-
An extensive references section, directing the reader to the most current RSM research
Assuming only a fundamental background in statistical models and matrix algebra, Response Surface Methodology, Third Edition is an ideal book for statistics, engineering, and physical sciences courses at the upper-undergraduate and graduate levels. It is also a valuable reference for applied statisticians and practicing engineers.
Most helpful customer reviews
29 of 29 people found the following review helpful.
an improved second edition by two great writers
By Michael R. Chernick
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.
13 of 13 people found the following review helpful.
The best RSM book out there! Does NOT miss the point.
By Joel M. Smith
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!
16 of 17 people found the following review helpful.
Excellent book
By A Customer
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.
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