Conference designs C(14, 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 | 12 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 13/14 |
| Minimum/Maximum rank of model matrix for 2FI | 12/13 |
| Minimum B4 | 0.7959 |
| Maximum B4 | 1.7755 |
| Minimum F4 | (0, 3, 12) |
| Maximum F4 | (3, 0, 12) |
| 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 | 1 | 14 | 13 | (0, 3, 12) | 0.80 | 0.800 | 0.000 | 10.008 | 0.000 | 1.277 | 0.000 | Yes | 14 |
| 3 | 4 | 14 | 13 | (0, 3, 12) | 0.80 | 0.800 | 0.000 | 10.001 | 0.000 | 1.286 | 0.000 | Yes | 8 |
| 4 | 11 | 13 | 12 | (0, 3, 12) | 0.80 | 0.800 | 0.000 | 9.986 | 0.000 | 1.304 | 0.000 | Yes | 14 |
| 0 | 0 | 14 | 13 | (1, 0, 14) | 0.80 | 0.933 | 0.000 | 11.672 | 0.000 | 1.494 | 0.000 | Yes | 8 |
| 2 | 3 | 14 | 12 | (1, 0, 14) | 0.80 | 0.933 | 0.000 | 11.665 | 0.000 | 1.503 | 0.000 | Yes | 8 |
Page generated on Tue Oct 22 20:35:41 2019.