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 | | Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building by George E. P. Box, William G. Hunter, J. Stuart Hunter, William Gordon Hunter ISBN-10: 9780471093152 ISBN-10: 0-471-09315-7 ISBN-13: 9780471093152 ISBN-13: 978-0-471-09315-2 Hardcover 1978-06-22 John Wiley & Sons Find Lowest Price |
Editorials | ||
Product Description Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ``statistical thinking'' by using examples drawn from actual case studies. | ||
Reviews | ||
Additional Praise I can't really add anything the other reviews haven't already covered. I just wanted to add my praise of this classic. This book is very relevant in a lab setting. I would recommend it to everyone to start with, but especially those with experimental problems to solve in an objective way. | ||
classic text on design, well presented This book was published in 1978 but as other reviewers have noted its practical methods and advice are timeless. George Box and Stu Hunter are both very famous statisticians who are also great teachers and lecturers. Bill Hunter is now deceased. All three authors have made major contributions to the design of experiments. The book is written for practitioners and in the simplest language possible. Emphasis is placed on practical designs and not optimal designs because optimal designs are very sensitive to model specification. It does not include the robust designs of Taguchi which came later and could easily be included if the authors choose to revise it. | ||
Outstanding, sophisticated, unconventional classic 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. | ||
Outstanding book, but you should buy the newer edition, not this version 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. | ||
Buy the 2nd edition of this over Montgommery's Book 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... | ||