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Планирование эксперимента для смесей×Центральное композиционное планирование×
ОбластьПланирование экспериментаПланирование эксперимента
СемействоHypothesis testProcess / pipeline
Год появления19581951
Автор методаHenry SchefféGeorge E. P. Box and K. B. Wilson
ТипConstrained mixture experimentResponse surface experimental design
Основополагающий источникScheffé, H. (1958). Experiments with Mixtures. Journal of the Royal Statistical Society, Series B, 20(2), 344–360. DOI ↗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 названияmixture experiment, simplex-lattice design, simplex-centroid design, Scheffé mixture designCCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Связанные43
СводкаMixture experiment design is a class of constrained experimental design in which the factors are the proportions of components in a blend, subject to the constraint that all proportions sum to one. The framework was formalised by Henry Scheffé in 1958 and covers simplex-lattice, simplex-centroid, and D-optimal mixture designs widely used in pharmaceutical formulation, food science, and materials research.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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  3. PUBLISHED

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ScholarGateСравнение методов: Mixture Design · Central Composite Design. Получено 2026-06-17 из https://scholargate.app/ru/compare