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Activity Number:
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204
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Quality and Productivity
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| Abstract - #308553 |
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Title:
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Using Minimal Dependent Subsets To Evaluate Supersaturated Designs
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Author(s):
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Arden Miller*+
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Companies:
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University of Auckland
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Address:
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Private Bag 92019, Auckland, none, New Zealand
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Keywords:
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factorial designs ; screening experiments
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Abstract:
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This talk will consider the use of supersaturated designs for screening experiments. A good screening design is one that can look at a set of candidate factors in a limited number of runs and reliably identify those that are active. Recently, a number of "supersaturated" designs have been proposed as a way of increasing the number of factors that can be investigated using a given number of runs. However, there are questions about the reliability of these designs. This talk will explain how the minimal dependent subsets of a supersaturated design can be used to evaluate how many active factors could possibly be detected by that design.
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