Salīdzināt metodes

	Dizains maisījumu eksperimentiem	Metodoloģija virsmas atbildes (RSM)
Nozare	Eksperimentu plānošana	Eksperimentu plānošana
Saime	Hypothesis test	Hypothesis test
Izcelsmes gads	1958	1951
Autors	Henry Scheffé	George E. P. Box & K. B. Wilson
Tips	Constrained mixture experiment	Second-order polynomial response surface model
Pirmavots	Scheffé, H. (1958). Experiments with Mixtures. Journal of the Royal Statistical Society, Series B, 20(2), 344–360.	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.
Citi nosaukumi	mixture experiment, simplex-lattice design, simplex-centroid design, Scheffé mixture design	RSM, Central Composite Design, Box-Behnken Design, CCD
Saistītās	4	7
Kopsavilkums	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.	Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics.