This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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678
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Type:
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Contributed
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Date/Time:
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Thursday, August 5, 2010 : 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 - #307430 |
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Title:
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Structural Properties of Optimum Designs and Their Interrelations in Model Identification and Discrimination for 2 ^m Factorial Experiments
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Author(s):
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Subir Ghosh+ and Mike Huang*+
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Companies:
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University of California, Riverside and University of California, Riverside
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Address:
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Statistics-Computing Building,, Riverside, CA, 92521, US 900 University Ave, Riverside, CA, 92521,
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Keywords:
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Fractional Factorial Experiment ;
Linear Models ;
Full Estimation Capacity ;
Optimum Design ;
Information Matrix ;
Eigen values and Vectors
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Abstract:
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We consider the optimum designs for model identification and discrimination in an experiment with m factors each at two levels. The special optimum designs which are balanced array of full strength are first considered. The optimum designs which are not balanced arrays are also considered by deleting certain runs from the balanced arrays that would still permit the model identification and discrimination. We study the structural properties of these designs and obtain some striking interrelations among them.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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