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Abstract Details

Activity Number: 111
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 8:30 AM to 10:20 AM
Sponsor: Quality and Productivity Section
Abstract - #304834
Title: Efficient Designs with Minimal Aliasing
Author(s): Bradley Allen Jones*+
Companies: SAS Institute
Address: SAS Campus Dr., Cary, NC, 27513,
Keywords: experiment design, aliasing

For some experimenters, a disadvantage of the standard optimal design approach is that it does not explicitly consider the aliasing of specified model terms with terms that are potentially important but are not included in the model. For example, when constructing an optimal design for a first-order model, aliasing of main effects and interactions is ignored. This can lead to designs that are optimal for estimation of the primary effects of interest, yet have undesirable aliasing structures. In this talk, I show how to construct exact designs that minimize the squared norm of the alias matrix subject to constraints on design efficiency. I also provide a number of practical examples showing the utility of this approach.

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