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A Optimal Design of Experiments: A Case Study Approach Hardcover – 1 Jul 2011

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From the Back Cover

"It′s been said: ′Design for the experiment, don′t experiment for the design.′ This book ably demonstrates this notion by showing how tailor–made, optimal designs can be effectively employed to meet a client′s actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings."
Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota

"This is an engaging and informative book on the modern practice of experimental design. The authors′ writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book."
Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University

"This book is the compelling story of two consultants in dialog as they show their clients how to leave the roads of textbook experimental design and fly the direct route of optimal design as enabled by computer–based methods."
John Sall, Executive Vice President and Cofounder, SAS Institute

"This book puts cutting–edge optimal design of experiments techniques into the hands of the practitioner. Ten real–world design scenarios, which Goos and Jones present as consulting session conversations with clients, easily engage and absorb the reader. A behind–the–scenes look at various technical treasures accompanies each scenario."
Marie Gaudard, Professor Emeritus, University of New Hampshire

"Each chapter begins with a realistic experimental situation being informally discussed on site by local engineers and statistical consultants. Next an optimal experimental design is constructed and the data with full detailed analysis provided. Statisticians and para–statisticians alike should enjoy this book. Clearly a new day is dawning in the art and practice of experimental design."
J. Stuart Hunter, Professor Emeritus, Princeton University

About the Author

Peter Goos, Department of Mathematics, Statistics and Actuarial Sciences of the Faculty of Applied Economics of the University of Antwerp. His main research topic is the optimal design of experiments. He has published a book as well as several methodological articles on the design and analysis of blocked and split–plot experiments. Other interests of his in this area include discrete choice experiments, model–robust designs, experimental design for non–linear models and for multiresponse data, and Taguchi experiments. He is also a member of the editorial review board of the Journal of Quality Technology.

Bradley Jones, Senior Manager, Statistical Research and Development in the JMP division of SAS, where he leads the development of design of experiments (DOE) capabilities in JMP software. Dr. Jones is widely published on DOE in research journals and the trade press. His current interest areas are design of experiments, PLS, computer aided statistical pedagogy, and graphical user interface design.

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Amazon.com: 5.0 out of 5 stars 12 reviews
7 of 7 people found the following review helpful
5.0 out of 5 stars My experience using this book 11 Jun. 2012
By Doug - Published on Amazon.com
Format: Hardcover
I used this book as a supplementary text for a PhD level course in design of experiments in the spring of 2012. My students have all taken a previous graduate course in design, some have had a second course in response surfaces, and some have had a course in regression. The only necessary background is the basic design course. My course covers topics on factorial and fractional factorial designs not covered in a basic course including optimal design methods and nonregular fractions, split-plot designs, designs for nonlinear models, some advanced response surface design techniques, and some advanced analysis topics such as analysis of covariance. This book was a perfect companion to the lectures for many course topics. It is well-written and introduces each topic with a very realistic consulting scenario, and then follows through with a thoughtful presentation of the appropriate design. There is a concise technical discussion that contains enough of the underlying theory to give readers a good general understanding of the underlying theory. The examples were great supplements to my lectures and the technical discussions wre very useful. I strongly recommend this book to anyone who is involved in design of experiments.
7 of 7 people found the following review helpful
5.0 out of 5 stars Very readable 6 Dec. 2011
By Amazon Customer - Published on Amazon.com
Format: Hardcover
I'm a statistician who hates reading textbooks. They are generally dull, boring, and full of formulas. This book would be the surprising exception. It is readable! Almost friendly! Yet still gives a bunch of useful techniques. And you don't have to be a statistician to understand it.
4 of 4 people found the following review helpful
5.0 out of 5 stars The perfect bridge between theory and practice 23 Jan. 2013
By Amazon Customer - Published on Amazon.com
Format: Kindle Edition
I echo a previous reviewer's sentiment that this book bridges "the gap between what is published in statistical journals and what is done in real life." I teach statistics, but had never taken experimental design. To fill this gap in my education, I worked through a standard first text, by Montgomery. Yet I felt as if I was unable to apply the methods in real life. I asked a friend who is an expert and does experimental design for a living, and she told me that no first text prepares anyone for doing real-world work. At a conference I asked an expert who was familiar with the Goos and Jones book whether I should read it. His reply was, "If you want to do real-world experimental design, then Goos and Jones is the book for you." He was right. Another reviewer commented favorably on the book's style, and I echo this as well. Each chapter begins with an extended case study that is a conversation between consultants and clients. It shows the concerns of the clients and how the consultants interact with the clients to solve the problem. Each chapter ends with a short technical discussion of the math behinds the consultants' decisions.
2 of 2 people found the following review helpful
5.0 out of 5 stars Excellent book with, like the title says, a very practical approach 11 Sept. 2012
By alanrvazquez - Published on Amazon.com
Format: Hardcover Verified Purchase
If you want to be up to date in design of experiments, you must buy this book. The mainly reasons why I gave this book a 5 stars rate are these:

- Every chapter begins like a Sherlock Holmes story, two guys confronting a peculiar situation. It includes the dialogues of Peter, Brad (the two guys) and the client, from the meeting until presentation of the results and recommendations.

- Then, the chapter continues with the development of all the theory behind the methods that were used. Very easy to read and to follow,

- Finally, at the end of the chapter, they give you the highlights you need in order to program the algorithm to construct optimal designs.

Also, the book very easy to read. You won't get bored and you will learn so much by reading this excellent book.

You have to create the design according to the characteristics of the problem instead of looking at an existing design and try to adjust your problem to it. Optimal Design main idea.
1 of 1 people found the following review helpful
5.0 out of 5 stars The most important DOE book ever written 28 Dec. 2013
By Amazon Customer - Published on Amazon.com
Format: Hardcover
If you have only a slight idea of what optimal design of experiments are, then this is the book for you. If you are a Statistical Designed Experiment's practitioner, and that includes thousands of engineers, experimenters, researchers, and scientists who pragmatically use DOE but who are not trained statisticians, then again this is the book for you.

This book is a landmark publication for practitioners and consulting statisticians alike. Stu Hunter, the co-author, with George Box, of one of the most influential DOE Books and one of the godfathers of the modern practice of Designed Experiments has been quoted on the cover "Clearly a new day is dawning in the art and practice of experimental design." See his review of the book on Youtube. [...]

The book is not only easy to read, but is also fun to read. It follows the model laid down by Dr. Eliyahu M. Goldratt when he wrote the book, "The Goal" on the theory of constraints. We follow two consulting statisticians on their various rounds with different clients creating custom designed experiments for very real and difficult situations.

The chapters progress in complexity, not in theory but in the difficulties faced by real life DOE practitioners. Each chapter has a very readable and understandable description of the problem and the custom solution. For the advanced practitioner there is a small section on the mathematical background, which can easily be skipped without loss of understanding the critical aspects or using optimal design.

Brad Jones is a principal scientist as SAS which provides the software JMP which is unstated in the book but is the tool used for unlocking the mysteries of optimal design. JMP is an expensive piece of software but is essential for those who wish to become practitioners of Optimal Design .

Peter Goos is from the University of Antwerp and has a web page dedicated to the book and shows a few examples of how to use JMP to create a few of case studies found in the book. [...]

You can find additional videos on the JMP homepage as well as on youtube.

All in all I found this book to be the single most important book in my collection on Designed Experiments, and clearly, to me, a new day has dawned as I proceed to learn and practice the art and science of Optimal Designed Experiments.

Mike Mercer
Mercer Quality Consulting, LLC
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