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Abstract Details
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Activity Number:
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399
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #304410 |
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Title:
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Multivariate Nonparametric Ranking and Selection
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Author(s):
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Jeremy Entner*+ and Pinyuen Chen
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Companies:
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Syracuse University and Syracuse University
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Address:
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1918 James St, Syracuse, NY, 13206, United States
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Keywords:
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Selection ;
Nonparametric ;
Data Depth ;
Dispersion
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Abstract:
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In the talk, we give a basic introduction to ranking and selection methods in one variable. Then using the multivariate quantiles defined by Tukey's depth function, we propose a non-parametric asymptotic procedure for selecting one of several multivariate populations. Simulation results will be presented to illustrate the efficiency of our procedure.
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Authors who are presenting talks have a * after their name.
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