Design and Analysis of Experiments

by Douglas C. Montgomery

Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best-selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today's most powerful software tools for experimental Design-Expert(r) and Minitab(r). Throughout the text, You'll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. You'll also learn how to use statistically designed experiments
* Obtain information for characterization and optimization of systems
* Improve manufacturing processes
* Design and develop new processes and products
* Evaluate material alternatives in product design
* Improve the field performance, reliability, and manufacturing aspects of products
* Learn how to conduct experiments effectively and efficiently
Other important textbook
* Student version of Design-Expert(r) software is available.
* Web site (www.wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author's Design of Experiments course at Arizona State University.

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

Hardcover

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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