Authors: Archana Krishnamoorthy; Douglas C. Montgomery; Bradley Jones; Connie M. Borror
Addresses: School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, USA ' School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ 85287, USA ' SAS Institute, SAS Campus Dr., Cary, NC 27513, USA ' Division of Mathematical and Natural Sciences, Arizona State University West, P.O. Box 37100, Phoenix, AZ 85069, USA
Abstract: No-confounding designs in 16 runs for 6, 7 and 8 factors are non-regular fractional factorial designs that have been suggested as attractive alternatives to the regular minimum aberration resolution IV designs because they do not completely confound any two-factor interactions with each other. These designs allow for potential estimation of main effects and a few two-factor interactions without the need for follow-up experimentation. Analysis methods for non-regular designs are areas of ongoing research, because standard variable selection techniques such as stepwise regression may not always be the best approach. We investigate the use of the Dantzig selector for analysing no-confounding designs. Through a series of examples we show that this technique is very effective for identifying the set of active factors in no-confounding designs when there are three of four active main effects and up to two active two-factor interactions.
Keywords: Dantzig selector; fractional factorial designs; non-regular designs; no-confounding designs.
International Journal of Experimental Design and Process Optimisation, 2015 Vol.4 No.3/4, pp.183 - 205
Received: 27 Sep 2014
Accepted: 25 Oct 2014
Published online: 03 Nov 2015 *