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Abstract Details
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Activity Number:
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63
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2012 : 4:00 PM to 5:50 AM
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Sponsor:
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ENAR
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| Abstract - #306119 |
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Title:
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An Empirical Likelihood Approach to Testing of Multivariate Symmetries
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Author(s):
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Hanxiang Peng*+
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Companies:
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Indiana University Purdue University Indianapolis
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Address:
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402 N. Blackford Street, Indianapolis, IN, 46202, United States
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Keywords:
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Empirical likelihood ;
Infinite many constraints ;
Multivariate symmetry ;
Rotational symmetry ;
Spherical symmetry
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Abstract:
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In this talk, we will first introduce a class of tests for testing multivariate central symmetry. The empirical likelihood (EL) versions of these tests are then presented. An EL-based test about spherical symmetry is also given. Because symmetries are infinite dimensional, our tests are based on random vectors with growing dimension. We will discuss the asymptotic behaviors of these tests and local alternatives. Finally, simulation results are reported.
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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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