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Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition
George E. P. Box, J. Stuart Hunter, William G. Hunter
ISBN: 978-0-471-71813-0
Hardcover
664 pages
May 2005
US $153.00 add_to_cart.gif
 
"This is a very well written book that every design engineering and design technician needs to own." (IEEE Electrical Insulation Magazine, May/June 2008)

"…very few of our profession would fail to benefit from and enjoy reading it." (Journal of the American Statistical Association, December 2006)

"...belongs on the shelf on every industrial statistician. There is much wisdom and depth here, and the improvements embodied in this new edition are substantial enough to recommend it even to those who already possess the first edition." (The American Statistician, November 2006)

"...remains one of the essential books in experimental design and analysis...buying the second edition is absolutely worth the effort..." (MAA Reviews, August 18, 2006)

"…the new edition is a significant improvement on what was already a classic." (AIChE Journal, July 2006)

"Is it really possible to update a well-known, classic textbook and improve it? Yes, it is not only possible but it has been done." (Technometrics, May 2006)

"...it often happens that there is no statistician around when you desperately need one - then it may be useful to pull this from your laboratory textbook shelf." (Canadian Journal of Medical Laboratory Science, February 2006)

"A very useful and valuable statistics book…highly recommended." (CHOICE, February 2006)

"This is an excellent book indeed. Like the first edition, this book will soon become a must for all experimenters and educators/trainers. I would strongly recommend this book to everyone." (Journal of Quality Technology, January 2006)

"This text is, undoubtedly, an essential reference for all researchers and an invaluable course book for undergraduate and graduate students." (Mathematical Reviews, 20006b)

"...this is a welcome second edition of a much loved book...valuable..." (International Statistical Institute, January 2006)

 
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