This book is about the philosophy and practice of Evolutionary Operation (called EVOP for short), a simple but powerful statistical tool with wide application in industry. Experience has long shown that statistical methods, sometimes quite sophisticated in character, can be of great value in improving the efficiency of laboratory and pilot-plant investigations made by specially trained chemists and engineers. What originally motivated the introduction of EVOP, however, was the idea that the widespread and daily use of simple statistical design and analysis during routine production by process operatives themselves could reap enormous additional rewards.
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Editorial Reviews
From the Publisher
This book is about the philosophy and practice of Evolutionary Operation (called EVOP for short), a simple but powerful statistical tool with wide application in industry. Experience has long shown that statistical methods, sometimes quite sophisticated in character, can be of great value in improving the efficiency of laboratory and pilot-plant investigations made by specially trained chemists and engineers. What originally motivated the introduction of EVOP, however, was the idea that the widespread and daily use of simple statistical design and analysis during routine production by process operatives themselves could reap enormous additional rewards.
From the Back Cover
The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.
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23 of 23 people found the following review helpful:
5.0 out of 5 stars
statistical technique developed for manufacturing,
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This review is from: Evolutionary Operation: A Statistical Method for Process Improvement (Wiley Classics Library) (Paperback)
Evolutionary operation is a strategy for experimentation during production. It is a terrific method for continuous process improvement which is now popular in the new quality movement. Surprisingly, though very practical the approach never caught on when the book originally came out! Box and Draper are famous professors of statistics in the Statistics Department at the University of Wisconsin. Both are excellent writers and each has coauthored other very highly regarded texts.
These techniques are worth considering by anyone involved in producing high quality manufacturing processes. This is the only text that covers the topic.
1 of 1 people found the following review helpful:
4.0 out of 5 stars
just a paperback for the oirigal 1969 edition of the hardback.,
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This review is from: Evolutionary Operation: A Statistical Method for Process Improvement (Wiley Classics Library) (Paperback)
I was surprised the issuing of a 1969 hardback edition but no update. it is less expensive to get the hardback.
of course G. E.P. Box's books are always a joy to read and ponder.
0 of 2 people found the following review helpful:
5.0 out of 5 stars
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This review is from: Evolutionary Operation: A Statistical Method for Process Improvement (Probability & Mathematical Statistics) (Hardcover)
The book was received promptly "as described". I am very satistified with the vendor and the product.
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Inside This Book
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First Sentence:
A typical industrial process passes through many stages of development. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
scientific feedback, process superintendent, empirical feedback, factorial mean, auxiliary responses, evolutionary operation, calculation worksheet, automatic optimization, new sum, regular simplex, calculations for cycle, phase mean, new averages, reference run, information board, block averages, dot diagram, static operation, prior estimate, tear resistance Key Phrases - Capitalized Phrases (CAPs): (learn more)
Evolutionary Operation, Calculation of Effects Using, Effects Extrusion, Monsanto Company, Sum Multiplier Mean, Time Response New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
A typical industrial process passes through many stages of development. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
scientific feedback, process superintendent, empirical feedback, factorial mean, auxiliary responses, evolutionary operation, calculation worksheet, automatic optimization, new sum, regular simplex, calculations for cycle, phase mean, new averages, reference run, information board, block averages, dot diagram, static operation, prior estimate, tear resistance Key Phrases - Capitalized Phrases (CAPs): (learn more)
Evolutionary Operation, Calculation of Effects Using, Effects Extrusion, Monsanto Company, Sum Multiplier Mean, Time Response New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 38
books:
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100
books
cite this book:
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- Linear Programming by George Hadley on page 160, and Back Matter
- Time Series Analysis: Forecasting & Control (3rd Edition) by George Box in Back Matter
- A Course in Modern Algebra (Wiley Classics Library) by Peter Hilton in Back Matter
- Theoretical Nuclear Physics: Nuclear Structure v. 1 by Amos De Shalit in Back Matter
- Techniques and Applications of Path Integration (Dover Books on Physics) by L. S. Schulman in Back Matter
See all 38 books this book cites
- Forecasting with Univariate Box - Jenkins Models: Concepts and Cases (Wiley Series in Probability and Statistics) by Alan Pankratz in Front Matter
- Models for Investors in Real World Markets (Wiley Series in Probability and Statistics) by James R. Thompson in Back Matter
- Exploratory Data Mining and Data Cleaning by Tamraparni Dasu in Back Matter
- Probability and Statistics by Example: Volume 1, Basic Probability and Statistics (v. 1) by Yuri Suhov in Back Matter
- Applied Life Data Analysis (Wiley Series in Probability and Statistics) by Wayne B. Nelson in Back Matter
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