Review of Classical Methods in Supersaturated Designs (SSD) for factor Screening

Abstract

Supersaturated designs are fractional factorial designs that have too few runs to allow the estimation of the main effects of all the factors in the experiment. There has been a great deal of interest in the development of these designs for factor screening in recent years. A review of supersaturated design is presented, including criteria for design selection, with reference to the popular E(s²) criterion and classical methods for constructing supersaturated designs. Classical methods have been suggested for the analysis of data from supersaturated designs and these are critically reviewed and illustrated.

Keywords: Supersaturated, Classical method, Screening, fractional factorial and E(S²)