On the experimental attainment of optimum conditions.¶
Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B (Methodological), 13(1), 1-45.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Factorial Design
- 5. The response-surface optimization foundation — factorial designs characterize the response landscape across multiple factors, providing the geometric structure and curvature estimates needed for sequential optimization (steepest ascent, central composite designs, response-surface methods)
This sourceFounds response-surface methodology — using factorial designs to characterize the response landscape and curvature for sequential optimization (steepest ascent, central composite designs) and screen-then-optimize strategies.
- 5. The response-surface optimization foundation — factorial designs characterize the response landscape across multiple factors, providing the geometric structure and curvature estimates needed for sequential optimization (steepest ascent, central composite designs, response-surface methods)
Mechanisms¶
- Surrogate Model
- The classical form of this is response surface methodology — fitting a smooth model to experimental runs so the expensive process can be explored analytically.
This sourceIntroduces response-surface methods that fit empirical response functions to designed experiments so operating conditions can be explored and optimized efficiently.
- The classical form of this is response surface methodology — fitting a smooth model to experimental runs so the expensive process can be explored analytically.
Verification¶
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Does it back the claim? Not recorded. Neither this nor any other of the 2 citations of this work carries a recorded support check.
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Links previously used in the corpus¶
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Registry ID ref:f69e1dafeaf9 · see in the full table