Conference designs C(16, 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 | 30 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 13/16 |
| Minimum/Maximum rank of model matrix for 2FI | 12/15 |
| Minimum B4 | 0.3750 |
| Maximum B4 | 1.8750 |
| Minimum F4 | (0, 0, 6, 9) |
| Maximum F4 | (3, 0, 3, 9) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There is 1 Pareto optimal design 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 | 22 | 16 | 15 | (0, 0, 6, 9) | 0.38 | 1.000 | 1.000 | 14.075 | 12.930 | 1.688 | 0.942 | Yes | 16 |
Page generated on Tue Oct 22 20:35:41 2019.