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Activity Number:
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411
- Developments in the Construction of Experimental Designs
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Type:
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Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #323179
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Title:
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Locally D-Optimal Designs for Logistic Regression Models with Factorial Effects
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Author(s):
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Zhongshen Wang* and John Stufken
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Companies:
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Arizona State University and Arizona State University
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Keywords:
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general equivalence theorem ;
orthogonal arrays
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Abstract:
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We consider logistic regression models with both factorial effects and one continuous covariate. The factorial effects include both main-effects and interactions. Available results focus on models with main-effects only (Stufken and Yang, 2012) or include all interactions up to a specified order (Stufken and Tan, 2016). We extend these theoretical results to locally D-optimal designs for more general models. Additional results will be discussed based on orthogonal arrays.
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Authors who are presenting talks have a * after their name.
