
Evolutionary Operation by George E P Box
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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Introductory Functional Analysis with Applications
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Differential and Integral Calculus, Volume 1
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Statistical Models in Engineering
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Introduction to Geometry
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Applied and Computational Complex Analysis, 3 Volume Set
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Geometric Algebra
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Survival Models and Data Analysis
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Applied and Computational Complex Analysis, Volume 2
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Integral Equations
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Applied and Computational Complex Analysis, Volume 1
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Lectures on Applications-Oriented Mathematics
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A Course in Modern Algebra
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An Introduction to Bayesian Inference in Econometrics
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Topics in Complex Function Theory, Volume 3
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Foundations of Differential Geometry, Volume 2
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Statistics and the Law
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The Elements of Stochastic Processes with Applications to the Natural Sciences
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Fitting Equations to Data
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The Statistical Analysis of Time Series
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Combinatorial Theory
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Linear Operators, Part 1
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Statistical Design for Research
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Statistics
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Survival Analysis
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Mathematical Programming in Statistics
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Sample Survey Methods and Theory, Volume 2
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Sample Survey Methods and Theory, Volume 1
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Statistics for Spatial Data
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Water Waves
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Detection, Estimation, and Modulation Theory, Part II
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Linear Operators, Part 3
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Simple Groups of Lie Type
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Stochastic Processes
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Bayesian Inference in Statistical Analysis
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Statistical Optics
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Applied Statistical Decision Theory
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Applied and Computational Complex Analysis, Volume 3
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Planning of Experiments
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Modern Probability Theory and Its Applications
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Optimal Statistical Decisions
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Topics in Complex Function Theory, Volume 2
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Experimental Designs
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The Elements of Integration and Lebesgue Measure
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Understanding Robust and Exploratory Data Analysis
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Design and Analysis of Clinical Experiments
GEORGE E. P. BOX, PhD, is Ronald Aylmer Fisher Professor Emeritus of Statistics and Industrial Engineering at the University of Wisconsin, Madison. His lifelong work has defined statistical analysis, while his name and research is a part of some of the most influential statistical constructs, including Box & Jenkins models, Box & Cox transformations, and Box & Behnken designs. Dr. Box is the coauthor of a number of Wiley books, including most recently, Statistical Control by Monitoring and Adjustment, Second Edition; Response Surfaces, Mixtures, and Ridge Analyses, Second Edition; and Improving Almost Anything: Ideas and Essays, Revised Edition.
George C. Tiao is emeritus professor in the Booth School of Business at the University of Chicago. He contributed to the development of Bayesian Statistics, Time Series Analysis and Environmental Statistics. He has authored, co-authored or co-edited seven books.
| SKU | Unavailable |
| ISBN 13 | 9780471255512 |
| ISBN 10 | 0471255513 |
| Title | Evolutionary Operation |
| Author | George E P Box |
| Series | Wiley Classics Library |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | John Wiley & Sons Inc |
| Year published | 1998-03-16 |
| Number of pages | 256 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |













































