Conference designs C(18, 2)
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 | 1 |
| Minimum/Maximum rank of model matrix with 2FI and QE | 3/3 |
| Minimum/Maximum rank of model matrix for 2FI | 1/1 |
| Minimum B4 | 0.0000 |
| Maximum B4 | 0.0000 |
| Minimum F4 | (0, 0, 0, 0) |
| Maximum F4 | (0, 0, 0, 0) |
| 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 | 0 | 3 | 1 | (0, 0, 0, 0) | 0.00 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | Yes | 18 |
Page generated on Tue Oct 22 20:35:40 2019.