Conference designs C(20, 13)
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 | 689 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 20/20 |
| Minimum/Maximum rank of model matrix for 2FI | 19/19 |
| Minimum B4 | 33.2400 |
| Maximum B4 | 34.5200 |
| Minimum F4 | (0, 0, 82, 507, 126) |
| Maximum F4 | (0, 21, 46, 486, 162) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 4 Pareto optimal designs in 4 classes. Pareto optimality is according to r(2FI, QE), r(2FI), F4, B4, PEC4, PEC5, PIC4, PIC5, PPC4, and PPC5 (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 | Max. columns |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 686 | 20 | 19 | (0, 0, 82, 507, 126) | 33.40 | 1.000 | 1.000 | 17.037 | 16.279 | 1.781 | 1.188 | Yes | 20 |
| 2 | 687 | 20 | 19 | (0, 0, 83, 503, 129) | 33.40 | 1.000 | 1.000 | 17.037 | 16.283 | 1.782 | 1.191 | Yes | 20 |
| 3 | 688 | 20 | 19 | (0, 0, 85, 501, 129) | 33.64 | 1.000 | 1.000 | 17.035 | 16.275 | 1.782 | 1.192 | Yes | 20 |
| 0 | 285 | 20 | 19 | (0, 9, 64, 494, 148) | 33.24 | 0.987 | 0.937 | 16.848 | 15.329 | 1.761 | 1.118 | Yes | 20 |
Page generated on Tue Oct 22 20:35:42 2019.