Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1148101 | Journal of Statistical Planning and Inference | 2009 | 7 Pages |
Abstract
Two-level supersaturated designs are constructed for n=2k (k⩾5) runs and m factors where n+3⩽m⩽5(n-4). The designs so formed are shown to have a maximum absolute correlation between factors of 14 and to be efficient in terms of E(s2), particularly when the number of factors m is approximately double the number of runs n or greater. Thus, supersaturated designs with favourable properties are found for much higher numbers of runs than would be possible solely using algorithms.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Neil A. Butler,