Conference designs C(14, 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 | 3 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 14/14 |
| Minimum/Maximum rank of model matrix for 2FI | 13/13 |
| Minimum B4 | 13.5918 |
| Maximum B4 | 13.7551 |
| Minimum F4 | (0, 57, 153) |
| Maximum F4 | (0, 58, 152) |
| Data | all arrays |
Note: 2FI: two-factor interaction; QE: quadratic effect
Pareto optimal designs
There are 2 Pareto optimal designs in 2 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 | 14 | 13 | (0, 57, 153) | 13.59 | 0.729 | 0.000 | 9.114 | 0.000 | 1.163 | 0.000 | Yes | 14 |
| 1 | 2 | 14 | 13 | (0, 57, 153) | 13.59 | 0.729 | 0.000 | 9.115 | 0.000 | 1.162 | 0.000 | Yes | 14 |
Page generated on Tue Oct 22 20:35:41 2019.