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Mixture Design/Evidence
Method evidence record

Mixture Design

Mixture 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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Mixture Experiment Design (Simplex-Lattice, Simplex-Centroid, D-Optimal)
Taxonomic method record · hypothesis-test / experimental-design
  • Scheffé, H. (1958). Experiments with Mixtures. Journal of the Royal Statistical Society, Series B, 20(2), 344–360. · DOI 10.1111/j.2517-6161.1958.tb00299.x
  • Cornell, J. A. (2002). Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data (3rd ed.). Wiley. · ISBN 978-0471393374
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Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Used in the same domainBox-Behnken Designmachine-suggested · Relational suggestion, not evidence.Used in the same domainCentral Composite Designmachine-suggested · Relational suggestion, not evidence.Same method familyFull Factorial Designmachine-suggested · Relational suggestion, not evidence.Same method familyResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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