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Activity Number:
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142
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Type:
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Invited
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Date/Time:
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Monday, August 3, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #303169 |
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Title:
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Model Robust and Model Discriminating Designs
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Author(s):
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Christopher Nachtsheim*+
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Companies:
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The University of Minnesota
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Address:
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3-245 Carlson School of Management, Minneapolis, MN, 55455,
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Keywords:
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optimal design ; model robust design ; screening designs ; orthogonal designs ; Bayesian design
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Abstract:
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This presentation will focus on the use of model robust and model discriminating designs for screening experiments. We show that the capability of regular and non-regular orthogonal designs for model discrimination is surprisingly varied. We develop new criteria and employ them to construct optimal two-level model-discriminating designs for screening experiments. The efficacy of these designs is studied, both in terms of estimation efficiency and discrimination success. Simulation studies indicate that the constructed designs result in substantively higher likelihoods of identifying the correct model.
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