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Планирование эксперимента×Центральное композиционное планирование×
ОбластьПланирование экспериментаПланирование эксперимента
СемействоProcess / pipelineProcess / pipeline
Год появления19351951
Автор методаRonald A. FisherGeorge E. P. Box and K. B. Wilson
ТипExperimental planning frameworkResponse surface experimental design
Основополагающий источникFisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45. DOI ↗
Другие названияDOE, experimental design, factorial experimentation, planned experimentationCCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Связанные33
СводкаDesign of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.Central Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Design of experiments · Central Composite Design. Получено 2026-06-19 из https://scholargate.app/ru/compare