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.
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Book Description
Editorial Reviews
Review
"In fact, [Statistics for Experimenters] might be [one of ] the most readable...books on statistical methods...would be a wonderful background for someone who wants to move into quality control. For such practical purposes, it exceeds any five books on mathematical statistics. The first three chapters are a superb introduction to statistical thinking, something that does not occur anywhere in most texts." -- The UMAP Journal
"It is hoped...that experimenters in all fields will be encouraged to read this text. " -- Biometrics
"The authors are to be congratulated for having written an excellent book. Students fortunate enough to have this as a text will have the opportunity to learn much, and not the least from the review questions and numerous well-contracted problems. Engineers wishing to advance their elementary understanding of statistical design and analysis will be delighted with this work. The writing is literate, and the technical aspects impeccable." -- Journal of Quality Technology
"It is hoped...that experimenters in all fields will be encouraged to read this text. " -- Biometrics
"The authors are to be congratulated for having written an excellent book. Students fortunate enough to have this as a text will have the opportunity to learn much, and not the least from the review questions and numerous well-contracted problems. Engineers wishing to advance their elementary understanding of statistical design and analysis will be delighted with this work. The writing is literate, and the technical aspects impeccable." -- Journal of Quality Technology
From the Publisher
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.
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Customer Reviews
Most Helpful Customer Reviews
30 of 31 people found the following review helpful
5.0 out of 5 stars
Outstanding book, but you should buy the newer edition, not this version
July 26, 2005
Format:Hardcover
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.
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.
22 of 22 people found the following review helpful
Format:Hardcover
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.
29 of 31 people found the following review helpful
Format:Hardcover
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.
It does not include the robust designs of Taguchi which came later and could easily be included if the authors choose to revise it.
Most Recent Customer Reviews
5.0 out of 5 stars
Great
Great book. Very useful. Excellent reference for DFSS project leaders and coaches. Mandatory reading for those are developing project based on Robust Engineering.
Published 2 months ago by A A GUIMARÃES
5.0 out of 5 stars
The right perspective
Many books begin with the theory and use an example to pull it all together. My brain does not learn that way. This book starts where it counts: the experiment. Read more
Published 18 months ago by dwilliams07af
5.0 out of 5 stars
Excellant book
This is a very good reference book with a large number of practical real-life examples.
Published on February 1, 2010 by Marvin W. Barnard
5.0 out of 5 stars
Starts with the Basics
Starting with simple examples this book progresses to more complex statistical theory. It emphasizes the importance of having subject matter knowledge. Read more
Published on October 9, 2009 by Charles D. Pearson
5.0 out of 5 stars
Confidence Bound Estimates
This book is a terrific asset to any experimentalist. The authors provide methods for estimation of the confidence of mean values. Read more
Published on March 26, 2009 by Daniel J. Vasicek
5.0 out of 5 stars
It Requires Only Elementary Mathematics
"This fresh approach to statistics focuses on applications in the physical, engineering, biological, and social sciences. Read more
Published on December 21, 2008 by Aung Htun
5.0 out of 5 stars
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. Read more
Published on April 16, 2008 by F. Goodson
5.0 out of 5 stars
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. Read more
Published on December 18, 2005 by Dennis During
5.0 out of 5 stars
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.. Read more
Published on March 29, 2005 by Jaime Ramos
4.0 out of 5 stars
Get a more recent title for the important modern advances
A solid excellent DOE book, however due to it's age, it obviously does not cover more recent topics, such as mixture experiments. Read more
Published on May 4, 2004
Citations (learn more)
This book cites 22
books:
See all 22 books this book cites
100
books
cite this book:
See all 100 books citing this book
- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box on page 508, page 553, and page 605
- Experimental Designs by William G. Cochran in Front Matter, page 279, and page 345
- Applied Regression Analysis (Wiley Series in Probability and Statistics) by Norman R. Draper on page 508, and page 553
- Applications of Statistics to Industrial Experimentation (Wiley Series in Probability and Statistics) by Cuthbert Daniel on page 345, and page 373
- Juran's Quality Control Handbook by J.M. Juran on page 583
See all 22 books this book cites
- Fundamental Concepts in the Design of Experiments by Charles R. Hicks on 6 pages
- Response Surfaces: Designs and Analyses: Second Edition (Statistics: A Series of Textbooks and Monographs) by Andre I. Khuri on 5 pages
- Experimental Design in Biotechnology (Statistics: A Series of Textbooks and Monographs) by Perry D. Haaland on 5 pages
- Case Studies in Biometry by Nicholas Lange in Back Matter (1), and Back Matter (2)
- Evaluating E-Learning (The Astd E-Learning Series) by William Horton on page 39, and Back Matter
See all 100 books citing this book
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