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Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building (Wiley Series in Probability and Statistics) [Hardcover]

George E. P. Box , William G. Hunter , J. Stuart Hunter
4.9 out of 5 stars  See all reviews (21 customer reviews)


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There is a newer edition of this item:
Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition 4.1 out of 5 stars (12)
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Book Description

July 6, 1978 0471093157 978-0471093152
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.


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

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.

Product Details

  • Series: Wiley Series in Probability and Statistics (Book 154)
  • Hardcover: 653 pages
  • Publisher: John Wiley & Sons (July 6, 1978)
  • Language: English
  • ISBN-10: 0471093157
  • ISBN-13: 978-0471093152
  • Product Dimensions: 9.3 x 6.3 x 1.5 inches
  • Shipping Weight: 2 pounds
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (21 customer reviews)
  • Amazon Best Sellers Rank: #322,125 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews
34 of 35 people found the following review helpful
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.
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22 of 22 people found the following review helpful
5.0 out of 5 stars Immediate usability in practice. September 18, 2001
Format:Hardcover|Verified Purchase
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.
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29 of 31 people found the following review helpful
5.0 out of 5 stars classic text on design, well presented February 9, 2008
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.
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16 of 17 people found the following review helpful
By A Customer
Format:Hardcover
More than twenty years after its publication, this seminal work is still the undisputable "Bible" for users of statistical experimental design. The practical insights sprinkled throughout this book are invaluable especially to non-mathematical statisticians. This book will never be out-of-date!
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12 of 12 people found the following review helpful
5.0 out of 5 stars Excellent Book for the Statistically Challenged!! February 27, 1999
By A Customer
Format:Hardcover
Not being a statistician but needing to understand Design of Experiments, I found this book to be extremely valuable. Box walks you thru the basic concepts through prediction and understanding of complex response surfaces. After taking it out of the library twice, I decided it was important to get my own copy. I now recommend it in every class I teach on optimization using finite element methods. DoE adds a whole new dimension to product performance simulation.
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11 of 11 people found the following review helpful
5.0 out of 5 stars Buy the 2nd edition of this over Montgommery's Book March 29, 2005
Format:Hardcover|Verified Purchase
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...
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12 of 13 people found the following review helpful
By A Customer
Format:Hardcover
A solid excellent DOE book, however due to it's age, it obviously does not cover more recent topics, such as mixture experiments. I've run into a few chemical engineers that have read only this book and have no idea what mixture experiments are, and why they are important in their DOE work. Also, I do not remember seeing any material on split-plot designs, and this topic is very important in industrial experimentation since most experiments are split-plots whether you know it or not, and you cannot evaluate them as normal. This is no fault of the book due to its publish date, but a newer book, such as Montgomery's or Hamada & Wu should also be read through to learn about the more recent advancements in DOE.
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5 of 5 people found the following review helpful
By A Customer
Format:Hardcover
Application of statistics in an industrial setting is often perceived as being difficult and time-consuming. This book clearly demonstrates that the use of experimental design not only enables a wider range of conclusions to be made, but the use of designs can minimizes the time, effort and cost required to obtain the results. George Box presents the theory clearly with many real-life industrial examples. It is the application of the theories to the examples which thoroughly convince the reader that the combination of a knowledge in ones area of expertise and the application of statistics can lead to extraordinarily promising results.
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Most Recent Customer Reviews
5.0 out of 5 stars Very good book
It's an (relatively) easy introduction to statistics. What makes it different from many others, is that the book follows an imaginary chemical engineer who has to make a decision... Read more
Published 2 months ago by Marco G F Capozzi
3.0 out of 5 stars Purchased for learning more about applications of stats to experiments
The book is OK, comprehensive, but I expected more application examples, more test scenerios. A bit less theory and more examples would have made the book true to it's title.
Published 8 months ago by Dr_PhysBabe
5.0 out of 5 stars Still the best
I used in in grad school; lost it in my moves; bought it again as I needed refreshing some ideas. Still the best there is.
Published 10 months ago by V. Tirumalai
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 15 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 on November 27, 2011 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 Chuck 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
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