Conference designs C(20, 9)
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 | 3640 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 19/20 |
| Minimum/Maximum rank of model matrix for 2FI | 18/19 |
| Minimum B4 | 5.3600 |
| Maximum B4 | 7.6800 |
| Minimum F4 | (0, 0, 12, 88, 26) |
| Maximum F4 | (0, 9, 6, 81, 30) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 5 Pareto optimal designs in 5 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 | 3449 | 20 | 19 | (0, 0, 12, 88, 26) | 5.44 | 1.000 | 1.000 | 17.059 | 16.361 | 1.783 | 1.196 | Yes | 20 |
| 2 | 3470 | 20 | 19 | (0, 0, 12, 88, 26) | 5.44 | 1.000 | 1.000 | 17.059 | 16.364 | 1.783 | 1.194 | Yes | 10 |
| 3 | 3583 | 20 | 19 | (0, 0, 13, 86, 27) | 5.52 | 1.000 | 1.000 | 17.055 | 16.359 | 1.784 | 1.204 | Yes | 12 |
| 4 | 3605 | 20 | 19 | (0, 0, 15, 84, 27) | 5.76 | 1.000 | 1.000 | 17.043 | 16.347 | 1.785 | 1.219 | Yes | 10 |
| 0 | 3167 | 20 | 19 | (0, 2, 8, 84, 32) | 5.36 | 0.984 | 0.921 | 16.822 | 15.170 | 1.759 | 1.111 | Yes | 12 |
Page generated on Tue Oct 22 20:35:41 2019.