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Optimal Design of Experiments: A Case Study Approach, by Peter Goos, Bradley Jones
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"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
"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 book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following:
- How can I do screening inexpensively if I have dozens of factors to investigate?
- What can I do if I have day-to-day variability and I can only perform 3 runs a day?
- How can I do RSM cost effectively if I have categorical factors?
- How can I design and analyze experiments when there is a factor that can only be changed a few times over the study?
- How can I include both ingredients in a mixture and processing factors in the same study?
- How can I design an experiment if there are many factor combinations that are impossible to run?
- How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study?
- How can I take into account batch information in when designing experiments involving multiple batches?
- How can I add runs to a botched experiment to resolve ambiguities?
While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.
- Sales Rank: #641088 in Books
- Published on: 2011-08-15
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x .85" w x 6.20" l, 1.25 pounds
- Binding: Hardcover
- 304 pages
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.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Excellent book with, like the title says, a very practical approach
By alanrvazquez
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.
2 of 2 people found the following review helpful.
Useful tools and interesting read
By Kevin P Gallagher
I am a Ph.D. scientist who uses Design of Experiments extensively for new product development. As I am not a statistician by training, I greatly enjoyed the "short story" like writing style as it is interesting and easy to read. The first half of each chapter illustrates a different situation and how a custom experiment was designed to fit the problem (not the other way around). For those interested in the more rigorous statistical background, each chapter has a second half that goes into those details.
0 of 0 people found the following review helpful.
The case study approach made this great
By Kevin R. Johnson
Very well written. Definitely enjoyed the style as well as the contents. The case study approach made this much more enjoyable to read.
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