Design and Analysis of Experiments

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 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.

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.

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.

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