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MINIMAL DEPENDENT SETS FOR EVALUATING SUPERSATURATED DESIGNS
Arden Miller and Boxin Tang
Vol. 22, No. 3 (July 2012), pp. 1273-1285
Published by: Institute of Statistical Science, Academia Sinica
Stable URL: http://www.jstor.org/stable/24309983
Page Count: 13
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This paper investigates minimal dependent sets used for evaluating supersaturated designs. Unlike the popular E(s2) criterion, the criteria based on minimal dependent sets directly capture the properties of designs in terms of estimation and identification of active factors. This paper provides a theoretical investigation into the number and structure of minimal dependent sets in a supersaturated design, and presents some construction results on supersaturated designs with large minimal dependent sets.
Statistica Sinica © 2012 Institute of Statistical Science, Academia Sinica