Design & Analysis of Mixture Experiments - Design Experiment Tab
Select the Design experiment tab of the Design & Analysis of Mixture Experiments dialog to access options to design a mixture experiment. These options generate Simplex-lattice and Simplex-centroid designs. (To generate designs for constrained mixtures, e.g., with upper and lower bound restrictions on factors, select Designs for constrained surfaces and mixtures from the Design and Analysis of Experiments (Startup Panel) - Advanced tab.) Note that Statistica generates a standard design; the Design of a Mixture Experiment dialog provides numerous options for enhancing the basic design (e.g., by adding replications, etc.). For a discussion of these designs, refer to the Introductory Overview.
xi = 0, 1/m, 2/m, ..., 1 i=1,2,...,q
and all combinations of factor levels are tested. The resulting design is called a {q,m} simplex lattice design. For example, a {q=3, m=2} simplex lattice design will include the following mixtures:
A | B | C |
1 | 0 | 0 |
0 | 1 | 0 |
0 | 0 | 1 |
.5 | .5 | 0 |
.5 | 0 | .5 |
0 | .5 | .5 |
A {q=3,m=3} simplex lattice design will include the points:
A | B | C |
1 | 0 | 0 |
0 | 1 | 0 |
0 | 0 | 1 |
1/3 | 2/3 | 0 |
1/3 | 0 | 2/3 |
2/3 | 1/3 | 0 |
2/3 | 0 | 1/3 |
0 | 2/3 | 1/3 |
1/3 | 1/3 | 1/3 |
A | B | C |
2/3 | 1/6 | 1/6 |
1/6 | 2/3 | 1/6 |
1/6 | 1/6 | 2/3 |
and the overall centroid:
A | B | C |
1/3 | 1/3 | 1/3 |
A | B | C |
1 | 0 | 0 |
0 | 1 | 0 |
0 | 0 | 1 |
1/2 | 1/2 | 0 |
1/2 | 0 | 1/2 |
0 | 1/2 | 1/2 |
1/3 | 1/3 | 1/3 |