Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building

It does not include the robust designs of Taguchi which came later and could easily be included if the authors choose to revise it.


Buy the 2nd edition of this over Montgommery's Book   March 30, 2005
Jaime Ramos (San Gabriel, CA United States)
10 out of 10 found this review helpful

I used the Montgomery DOE book as an undergrad...but chatting with a Stat prof freind of mine..she recommened Box Hunter & Hunter over this. I had never covered the entire book..& was reading up on Factorial designs...I went ahead and bought Box Hunter & Hunter...(do wait & buy the 2nd edition due out in May-I think Amazon trys to sell you the old inventory if you are not careful)...nonetheless, the old edition I bought actually is much more intuitive and easy to follow that the "Design and Analysis of Experiments" book by Montgomery....I think its b/c the latter is written by an engineer..no offense to you out there...just that engineers cover so much material that there texts seem more "cookbook" like..here's how...w/ no too much intuition as to why ...probably catering to the engineer who has not the time to care about the why...I am thoutoughly enjoying the read...some of the quotes in hte book are pretty funny yet all the while relevant...


Outstanding book, but you should buy the newer edition, not this version   July 27, 2005
Badger Turned Tarheel
15 out of 16 found this review helpful

All of the reviews on this book are generally consistent in their praise for the book and the authors. I do not have any points to add to the discussion other than this:

It is a credit to this version of Statistics for Experimenters that it has remained relevant throughout the years as a classic introductory text that has kept selling consistently since it was released in the 1970's. Nevertheless, unless you have a particular reason for purchasing this version, you should purchase the updated version(also available through Amazon).

The full title of the newer edition is:

Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition

The 2nd edition, written in the same engaging and readable style as the 1st, contains virtually all of the content of the 1st edition plus advances in design of experiments that have happened since the 1st edition was published.


Outstanding, sophisticated, unconventional classic   December 18, 2005
Dennis During (Mount Vernon, NY USA)
2 out of 3 found this review helpful

George E.P. Box, the senior author of this magnificent example of great teaching for adults, is one of the great statisticians of modern times. He is a master at teaching those with experience, especially industrial experience, but not necessarily the most advanced mathematical training. My own background in econometrics and decades of work experience left me in a position of having too little knowledge to apply sophisitcated statistical methods to experiments and too much knowledge to settle for the exposition of statistics in many experimental design texts, especially those for behavioral scientists. I had read some of Mr. Box's "Evolutionary Operation" [with Norman Draper] ("EvOp") (also outstanding, practical, and unusual) and looked at "Bayesian Inference in Statistical Analysis" [with George Tiao] ("BISA") and hoped the book was as practical as EvOp rather than as mathematical as BISA. It has turned out to be so without being unsophisticated.

Once you have mastered this, I am sure you will be prepared for many of the challenges of applying statistics to practical industrial and experimental situations and for more advanced and modern methods that have emerged since 1978 with the ubiquity of very cheap computing power.

What it may lack in the most contemporary methods it more than makes up for by helping the reader develop a good intuition for applying statistical methods and judgment.


Immediate usability in practice.   September 18, 2001
Kenneth R Litko (Crown Point, IN United States)
16 out of 16 found this review helpful

This is an excellently written book with clear examples of how to apply statistics to everyday experimental settings. Box delves deep enough into the underlying theory to give an engineer such as myself an appreciation for the "reality" of the mathematics, but sticks to concrete examples and putting theory into practice. Each chapter follows the previous one, but each is also reasonably self-contained. Terminology is easily clarified with a quick use of the comprehensive index.

Additionally, don't let the print date fool you... the book is timely.