Before revision: Box's design reduced the costs of experimentation so that a quadratic model could be fit, which led to a (long-sought) ascent direction.Improving Almost Anything: Ideas and Essays, Revised Edition (Wiley Series in Probability and Statistics) George E. P. Box See also Box–Behnken design Central composite design Gradient-enhanced kriging (GEK) IOSO method based on response-surface methodology Optimal designs Plackett–Burman design Polynomial and rational function modeling Polynomial regression Probabilistic design Surrogate model References Box, G. E. P. and Draper, Norman.
After revision: Bayesian OptimizationBox's design reduced the costs of experimentation so that a quadratic model could be fit, which led to a (long-sought) ascent direction.Improving Almost Anything: Ideas and Essays, Revised Edition (Wiley Series in Probability and Statistics) George E. P. Box See also Box–Behnken design Central composite design Gradient-enhanced kriging (GEK) IOSO method based on response-surface methodology Optimal designs Plackett–Burman design Polynomial and rational function modeling Polynomial regression Probabilistic design Surrogate model References Box, G. E. P. and Draper, Norman.