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Article: Selecting [2.sup.m-p] designs using a minimum aberration criterion when some two-factor interactions are important.
- Article from:
- Technometrics
- Article date:
- November 1, 2003
- Author:
CopyrightCOPYRIGHT 2003 American Statistical Association. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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We consider the problem of selecting appropriate [2.sup.m-p] designs when some two-factor interactions are important. Current methods in the literature select designs that permit estimation of the postulated model consisting of the main effects and important two-factor interactions, under the assumption that all of the other effects are negligible. When the effects not in the postulated model are not negligible, they will bias the estimates of the effects in the model. To minimize the contamination of these nonnegligible effects on the model, we propose and study a minimum aberration criterion. We then discuss the application of this new aberration criterion to compromise ...