Conference designs C(16, 7)
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 | 48 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 14/16 |
| Minimum/Maximum rank of model matrix for 2FI | 13/15 |
| Minimum B4 | 1.5000 |
| Maximum B4 | 4.3750 |
| Minimum F4 | (0, 4, 12, 19) |
| Maximum F4 | (7, 0, 7, 21) |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | 24 | 16 | 15 | (0, 4, 12, 19) | 1.75 | 0.886 | 0.524 | 12.470 | 6.776 | 1.494 | 0.484 | Yes | 16 |
| 0 | 7 | 16 | 15 | (1, 2, 9, 23) | 1.62 | 0.914 | 0.619 | 12.899 | 8.021 | 1.535 | 0.539 | Yes | 16 |
| 2 | 22 | 16 | 15 | (1, 2, 11, 21) | 1.75 | 0.914 | 0.619 | 12.883 | 8.011 | 1.540 | 0.565 | Yes | 16 |
| 1 | 21 | 16 | 15 | (2, 0, 6, 27) | 1.50 | 0.943 | 0.714 | 13.328 | 9.266 | 1.577 | 0.593 | Yes | 16 |
Page generated on Tue Oct 22 20:35:41 2019.