Design and Analysis of Experiments

by Douglas C. Montgomery

Design and Analysis of Experiments provides a rigorous introduction to product and process design improvement through quality and performance optimization. Clear demonstration of widely practiced techniques and procedures allows readers to master fundamental concepts, develop design and analysis skills, and use experimental models and results in real-world applications. Detailed coverage of factorial and fractional factorial design, response surface techniques, regression analysis, biochemistry and biotechnology, single factor experiments, and other critical topics offer highly-relevant guidance through the complexities of the field. Stressing the importance of both conceptual knowledge and practical skills, this text adopts a balanced approach to theory and application. Extensive discussion of modern software tools integrate data from real-world studies, while examples illustrate the efficacy of designed experiments across industry lines, from service and transactional organizations to heavy industry and biotechnology. Broad in scope yet deep in detail, this text is both an essential student resource and an invaluable reference for professionals in engineering, science, manufacturing, statistics, and business management.

Genres: Science, Textbooks, Nonfiction, Engineering, Reference, Mathematics, Technical

592 pages, Paperback

First published January 1, 1976

Reviews

[Hannah Thomas · Rating 4 out of 5]

This is a very straight-forward textbook with the help of an instructor's guidance. The very beginning, aka Chapters 1 and 2, are review from the very basics of statistics. It is after these that you do encounter different "types" of equations and ways to create models when it comes to actual real-life situations. In this case, these are dealing with small situations. You can compute these by hand, if you want, but when it comes to that of larger samples sizes, that's when you want to take the advice of using technology.

Again, a different kind of statistics, but very direct.

[Andrea Ratti · Rating 4 out of 5]

I think that this text is one of the best to approach design of experiment topic. Every chapter is described quantitatively, with a lot of real examples. The weak part of the text, is represented by regression chapter, described in a too BOS way, with few quantitative demostrations.

[David Martschinske · Rating 5 out of 5]

Exhaustive book on experimentation. I purchased this book after taking a collge course with one of Montgomery's other books.

[Sam Amm · Rating 5 out of 5]

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[Ammar]

Good Book

[Steve · Rating 4 out of 5]

This book is very detailed and very readable. Great coverage of Design of Experiments and all things related. Accompanied the graduate course I took with the author very well!

[Adeel Bhatti]

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