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Title: Design and Analysis of Experiments, 5th Edition by Douglas C. Montgomery ISBN: 0-471-31649-0 Publisher: Wiley Text Books Pub. Date: 30 June, 2000 Format: Hardcover Volumes: 1 List Price(USD): $118.95

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Average Customer Rating: 4.57 (7 reviews)

Rating: 5
Summary: Excellent book
Comment: Having taken two experimental design classes with Dr. Montgomery himself, hands down this book is excellent, as is the author himself. A lot of the material that we used in our advanced phD level experimental design class comes from the extra material that is available for free of off the books supplemental website, and there is a great wealth of more advanced material in there that is worth printing off, and there is a lot of supplemental material. So if you feel solid on what is in the textbook, tackle the supplemental material to further delve into DOE topics. The book uses numerous examples using SAS, Minitab and Design-Expert and lots of practice problems, so following along using any of the packages is pretty easy.

Rating: 4
Summary: Comprehensive Introduction to the Design of Experiments
Comment: This text was used in a graduate course on the Design of Experiments. It has a great wealth of examples that span many different fields of industry, from pharmaceuticals to "tool and die" manufacturing. This text, when used along with a statistical software package, made research projects easy to design, implement, analyze and present to others. I found the chapters on reliability, determining sample size for mixed models (random and fixed variables), very helpful in my research.

Rating: 5
Summary: great DOE book for engineers
Comment: Doug Montgomery is an engineer with great statistical training. This enabled him to be a great teacher for statistical practitioners and an author of several excellent applied books in the design and analysis of experimental data and statistical process control. This book is one of the best sources for Design of Experiments for engineers, currently a very important topic in industry. He provides a wealth of information on classical designs and the analysis of variance models. In addition he provides a balanced perspective on the value of Taguchi designs. Other topics covered include response surface methods, evolutionary operation and mixture experiments.

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