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MINIMAL DEPENDENT SETS FOR EVALUATING SUPERSATURATED DESIGNS

Arden Miller and Boxin Tang
Statistica Sinica
Vol. 22, No. 3 (July 2012), pp. 1273-1285
Stable URL: http://www.jstor.org/stable/24309983
Page Count: 13
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
MINIMAL DEPENDENT SETS FOR EVALUATING SUPERSATURATED DESIGNS
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Abstract

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.

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