Customer Reviews

Design and Analysis of Experiments

5 star:		(7)
4 star:		(8)
3 star:		(1)
2 star:		(0)
1 star:		(1)

 

 

Doug Montgomery got excellent statistical training at VPI. He also has a wealth of practical experience from his consulting work. His books on regression, statistical design and response surfaces are all well written and understandable to engineers. This 4th edition published in 1997 still contains all the useful information on factorial and fractional factorial designs. Chapter 14 is a wonderful up-to-date chapter that covers important process optimization topics not often covered in traditional design of experiments books. This includes response surface methods, mixture experiments, evolutionary operation and Taguchi methods. It does not require high level mathematics.

See Experiments by Wu and Hamada if you want a high mathematical level of presentation.

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.

This is one of the Best Works in DOE I have come across apart from the book Statistics for Experimenters by Box, Hunter and Hunter

+ well-written
+ good examples
- this is the 6th edition, and it is far from being that perfect !
(the author should extend / clarify some sections)
- the errata on the author's web site are no longer updated
- the price

This book, along with the Box, Hunter, and Hunter book (also available by Wiley) are good references for the experimenter.

This is the sixth edition and the book has a lot of typos, please, somebody has to correct them before the next edition.

This is the best book for beginners to DOE, students and for future reference.

Chapters 12 and 13 are useful for people interested on Gauge R&R studies (variance components models) and for those that have to understand and apply ISO/IEC 5725 standards at the laboratory.

A lot of references are listed at the end of the book.

I really liked reading and learning about Experimental Analysis and Design from this book. I think it is pretty well paced, and quite well illustrated with many examples. I addition, the author also provides an online space with further expansion to the ideas presented in the book, as well as digital resources to all the data used in solved examples, as well as question problems. I strongly recommend this book for anyone with moderate statistical backgrouns, wishing to learn about experimental design and analysis.

This book is long on formula derivation, and short on DOE theory. It does not introduce readers to DOE software packages like it claims either.

Also, very poor on real life examples. They exist....but not enough details in order to understand them. I am looking to teach a corporate class on this....too bad the book doesn't come with the professor.

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 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 enjoyable practice problems, so following along using any of the packages is pretty easy.