Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150008 | Journal of Statistical Planning and Inference | 2008 | 14 Pages |
Abstract
Orthogonal arrays of strength 3 permit estimation of all the main effects of the experimental factors free from confounding or contamination with 2-factor interactions. We introduce methods of using arithmetic formulations and Latin squares to construct mixed orthogonal arrays of strength 3. Although the methods could be well extended to computing larger arrays, we confine computing to at most 100 run orthogonal arrays for practical uses. We find new arrays with run sizes 80 and 96, each has many distinct factor levels.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Man V.M. Nguyen,