Class C(34, 5)

Conference designs C(34, 5)

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 176
Minimum/Maximum rank of model matrix with 2FI and QE 12/15
Minimum/Maximum rank of model matrix for 2FI 10/10
Minimum B4 0.0173
Maximum B4 0.7924
Minimum F4 (0, 0, 0, 0, 0, 0, 0, 5)
Maximum F4 (1, 0, 0, 0, 0, 0, 0, 4)
Data all arrays

Note: 2FI: two-factor interaction; QE: quadratic effect


Pareto optimal designs

There are 2 Pareto optimal designs in 1 class. Pareto optimality is according to r(2FI, QE), r(2FI), F4, and B4 (any other statistics are ignored).

All Pareto optimal designs.

Index Pareto file Index design file Rank 2FI and QE Rank 2FI F4 B4 PEC4 PEC5 PIC4 PIC5 PPC4 PPC5
0 99 15 10 (0, 0, 0, 0, 0, 0, 0, 5) 0.02 1.000 1.000 26.900 28.503 1.972 1.549
1 129 15 10 (0, 0, 0, 0, 0, 0, 0, 5) 0.02 1.000 1.000 26.871 28.553 1.982 1.611


Page generated on Tue Oct 22 20:35:41 2019.