ENBIS: European Network for Business and Industrial Statistics

Construction and Statistical Analysis of Supersaturated Designs: A New Approach

Abstract

Submitted by

Kalliopi Mylona

Authors

Kalliopi Mylona and Christos Koukouvinos

Affiliation

Department of Mathematics, National Technical University of Athens, Zografou 15773, Athens, Greece

Abstract

Supersaturated designs (SSDs) is a large class of factorial designs which can be used in screening experiments where the number of factors is large, while the experimentation is expensive. An SSD can save considerable cost when the number of factors is large and a small number of runs is desired or available. A recent application of evolutionary algorithms to the construction of two-level cyclic structured supersaturated designs and a statistical analysis method, for two-level E(s^2)-optimal supersaturated designs with a block orthogonal structure, are presented.

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