Conference designs C(12, 6)
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 | 5 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 12/12 |
| Minimum/Maximum rank of model matrix for 2FI | 11/11 |
| Minimum B4 | 1.0000 |
| Maximum B4 | 1.2222 |
| Minimum F4 | (0, 9, 6) |
| Maximum F4 | (0, 11, 4) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 3 Pareto optimal designs in 1 class. 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 | 2 | 12 | 11 | (0, 9, 6) | 1.00 | 0.400 | 0.000 | 4.355 | 0.000 | 0.641 | 0.000 | Yes | 12 |
| 1 | 3 | 12 | 11 | (0, 9, 6) | 1.00 | 0.400 | 0.000 | 4.355 | 0.000 | 0.641 | 0.000 | No | 6 |
| 2 | 4 | 12 | 11 | (0, 9, 6) | 1.00 | 0.400 | 0.000 | 4.355 | 0.000 | 0.641 | 0.000 | Yes | 12 |
Page generated on Tue Oct 22 20:35:41 2019.