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Abstract Details
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Activity Number:
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525
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #301830 |
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Title:
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Robust Principal Component Estimation of Functional Logistic Regression
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Author(s):
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Melody Denhere*+ and Nedret Billor
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Companies:
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Auburn University and Auburn University
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Address:
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Department of Mathematics and Statistics, Auburn, AL, 36849,
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Keywords:
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functional data analysis ;
robust statistics ;
functional logistic regression ;
principal components
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Abstract:
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We propose a robust estimator for the parameter function in the functional logistic regression model by using robust principal component approach. Robustness properties of the proposed robust estimator are explored via the robustness measures. A numerical implementation is also given with the performance of the proposed robust estimator evaluated both in a simulation study and with real datasets.
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