Conference designs C(20, 10)
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 | 2342 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 20/20 |
| Minimum/Maximum rank of model matrix for 2FI | 19/19 |
| Minimum B4 | 9.2000 |
| Maximum B4 | 12.8000 |
| Minimum F4 | (0, 0, 20, 150, 40) |
| Maximum F4 | (0, 11, 8, 129, 62) |
| 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 | 2320 | 20 | 19 | (0, 0, 20, 150, 40) | 9.20 | 1.000 | 1.000 | 17.055 | 16.335 | 1.782 | 1.189 | Yes | 20 |
| 2 | 2326 | 20 | 19 | (0, 0, 21, 147, 42) | 9.24 | 1.000 | 1.000 | 17.054 | 16.336 | 1.783 | 1.192 | Yes | 20 |
| 0 | 2294 | 20 | 19 | (0, 0, 22, 148, 40) | 9.44 | 1.000 | 1.000 | 17.048 | 16.312 | 1.782 | 1.194 | Yes | 20 |
| 3 | 2327 | 20 | 19 | (0, 0, 23, 146, 41) | 9.52 | 1.000 | 1.000 | 17.046 | 16.320 | 1.783 | 1.197 | Yes | 12 |
| 4 | 2340 | 20 | 19 | (0, 0, 25, 140, 45) | 9.60 | 1.000 | 1.000 | 17.043 | 16.336 | 1.785 | 1.213 | Yes | 20 |
Page generated on Tue Oct 22 20:35:41 2019.