Conference designs C(22, 4)
This page contains information about conference designs. The results have been generated with the Orthogonal Array package. If you use these results, please cite the paper A Classification Criterion for Definitive Screening Designs, E.D. Schoen, P.T. Eendebak, P. Goos, Annals of Statistics, 2019.
Results
Statistic | Results |
Number of non-isomorphic designs | 9 |
Minimum/Maximum rank of model matrix with 2FI and QE | 7/10 |
Minimum/Maximum rank of model matrix for 2FI | 6/6 |
Minimum B4 | 0.0083 |
Maximum B4 | 0.6694 |
Minimum F4 | (0, 0, 0, 0, 1) |
Maximum F4 | (1, 0, 0, 0, 0) |
Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 2 Pareto optimal designs in 1 class. Pareto optimality is according to r(2FI, QE), r(2FI), F4, and B4 (any other statistics are ignored).
Index Pareto file | Index design file | Rank 2FI and QE | Rank 2FI | F4 | B4 | PEC4 | PEC5 | PIC4 | PIC5 | PPC4 | PPC5 | Extensions |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 2 | 10 | 6 | (0, 0, 0, 0, 1) | 0.01 | 1.000 | 0.000 | 18.880 | 0.000 | 1.786 | 0.000 | Yes |
1 | 6 | 10 | 6 | (0, 0, 0, 0, 1) | 0.01 | 1.000 | 0.000 | 18.750 | 0.000 | 1.857 | 0.000 | Yes |
Page generated on Tue Oct 22 20:35:41 2019.