Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1148591 | Journal of Statistical Planning and Inference | 2007 | 9 Pages |
Abstract
Supersaturated design is a kind of fractional factorial design in which the number of runs is not enough to estimate all the main effects. It has recently received much interest because of its potential in factor screening experiments. In this paper, we propose a method for constructing multi-level supersaturated design via Kronecker product. The resulting design has the good properties such as: its χ2χ2 value can be computed exactly and the upper bound on the dependency among all design columns is under control. Illustrating examples followed by some detailed discussions are presented.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yukun Liu, Minqian Liu, Runchu Zhang,