A Variable Selection Method for Analyzing Supersaturated Designs

Christos Koukouvinos (1) , K. Mylona (2) , Anna Skountzou (1)

1 NTUA - National Technical University of Athens [Athens]
2 Universiteit Antwerpen

Supersaturated designs are a large class of factorial designs which can be used for screening out the important factors from a large set of potentially active variables. The huge advantage of these designs is that they reduce the experimental cost drastically, but their critical disadvantage is the confounding involved in the statistical analysis. In this paper, we propose a method for analyzing data using several types of supersaturated designs. Modifications of widely used information criteria are given and applied to the variable selection procedure for the identification of the active factors.

Mots clés: Physical Sciences

Domaines: Calcul [stat.CO]

Christos Koukouvinos, K. Mylona, Anna Skountzou. A Variable Selection Method for Analyzing Supersaturated Designs. Communications in Statistics - Simulation and Computation, 2011, 40 (04), pp.484-496. ⟨10.1080/03610918.2010.546540⟩. ⟨hal-00676091⟩