Conference designs C(16, 11)
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 | 17 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 16/16 |
| Minimum/Maximum rank of model matrix for 2FI | 15/15 |
| Minimum B4 | 18.7500 |
| Maximum B4 | 19.3750 |
| Minimum F4 | (7, 36, 95, 192) |
| Maximum F4 | (17, 18, 85, 210) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 6 Pareto optimal designs in 6 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 4 | 16 | 15 | (7, 36, 95, 192) | 18.88 | 0.870 | 0.446 | 12.258 | 5.775 | 1.464 | 0.396 | Yes | 16 |
| 1 | 7 | 16 | 15 | (10, 30, 90, 200) | 18.75 | 0.879 | 0.468 | 12.391 | 6.057 | 1.478 | 0.409 | Yes | 16 |
| 3 | 12 | 16 | 15 | (10, 30, 92, 198) | 18.88 | 0.879 | 0.478 | 12.390 | 6.195 | 1.478 | 0.424 | Yes | 16 |
| 2 | 10 | 16 | 15 | (13, 24, 87, 206) | 18.75 | 0.888 | 0.496 | 12.523 | 6.422 | 1.492 | 0.432 | Yes | 16 |
| 5 | 14 | 16 | 15 | (13, 24, 89, 204) | 18.88 | 0.888 | 0.491 | 12.521 | 6.366 | 1.493 | 0.430 | Yes | 16 |
| 4 | 13 | 16 | 15 | (17, 18, 85, 210) | 19.38 | 0.894 | 0.515 | 12.610 | 6.674 | 1.502 | 0.451 | Yes | 16 |
Page generated on Tue Oct 22 20:35:41 2019.