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Plan d'expériences de mélange×Planification Composite Centrale×
DomainePlans d'expériencesPlans d'expériences
FamilleHypothesis testProcess / pipeline
Année d'origine19581951
Auteur d'origineHenry SchefféGeorge E. P. Box and K. B. Wilson
TypeConstrained mixture experimentResponse surface experimental design
Source fondatriceScheffé, 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 ↗
Aliasmixture experiment, simplex-lattice design, simplex-centroid design, Scheffé mixture designCCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Apparentées43
RésuméMixture 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.
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ScholarGateComparer des méthodes: Mixture Design · Central Composite Design. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare