The Annals of Statistics CONSTRUCTION OF OPTIMAL MULTI-LEVEL SUPERSATURATED DESIGNS

A supersaturated design is a design whose run size is not large enough for estimating all the main effects. The goodness of multi-level supersaturated designs can be judged by the generalized minimum aberration criterion proposed by Inspired by the Addelman-Kempthorne construction of orthogonal arrays, several classes of optimal multi-level supersaturated designs are given in explicit forms: Columns are labeled with linear or quadratic polynomials and rows are points over a finite field. Additive characters are used to study the properties of resulting designs. Some small optimal supersaturated designs of 3, 4 and 5 levels are listed with their properties