Conference designs C(16, 14)
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 | 3 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 16/16 |
| Minimum/Maximum rank of model matrix for 2FI | 15/15 |
| Minimum B4 | 57.7500 |
| Maximum B4 | 57.7500 |
| Minimum F4 | (29, 96, 279, 597) |
| Maximum F4 | (35, 84, 273, 609) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 3 Pareto optimal designs in 3 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 | 0 | 16 | 15 | (29, 96, 279, 597) | 57.75 | 0.875 | 0.457 | 12.338 | 5.914 | 1.472 | 0.402 | Yes | 16 |
| 1 | 1 | 16 | 15 | (32, 90, 276, 603) | 57.75 | 0.878 | 0.466 | 12.381 | 6.030 | 1.477 | 0.410 | Yes | 16 |
| 2 | 2 | 16 | 15 | (35, 84, 273, 609) | 57.75 | 0.881 | 0.469 | 12.424 | 6.070 | 1.482 | 0.410 | Yes | 16 |
Page generated on Tue Oct 22 20:35:42 2019.