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George Box and the design of experiments: statistics and discovery
Author(s) -
Steinberg David M.
Publication year - 2014
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.2017
Subject(s) - imperfect , george (robot) , robustness (evolution) , computer science , box–behnken design , scientific discovery , design of experiments , data science , response surface methodology , management science , operations research , statistics , mathematics , artificial intelligence , machine learning , engineering , philosophy , psychology , biology , linguistics , biochemistry , gene , cognitive science
George Box was fascinated with how we make discoveries. His path‐breaking contributions to experimental design made statistics an active partner in the process of discovery. Box introduced us to response surface methods, evolutionary operation, resolution and rotatability, projective properties and design robustness. He developed popular experimental plans like the central composite and Box‐Behnken designs. He explored the consequences of imperfect models and derived D ‐optimal designs for experiments to estimate mechanistic models. Box's ideas grew from close collaborations with scientists and engineers and have been applied successfully in a wide range of disciplines. He has left an indelible stamp on the field of experimental design and on the practice of scientific investigation. Copyright © 2014 John Wiley & Sons, Ltd.