Abstract Details
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Activity Number:
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532
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Type:
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Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 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 - #309089 |
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Title:
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An Empirical Likelihood Approach to Testing of Uniformity and Symmetries on High-Dimensional Spheres
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Author(s):
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Lingnan Li*+ and Shan Wang and Hanxiang Peng
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Companies:
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Indiana University-Purdue University and Indiana University-Purdue University and Indiana University-Purdue University
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Keywords:
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empirical likelihood ;
high dimensional sphere ;
normality ;
rotational symmetry ;
spherical symmetry ;
uniform distribution on a sphere
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Abstract:
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In this talk, we report some results of empirical Likelihood testing of uniform distribution on a sphere, spherical and rotational symmetries. The tests are developed to allow for the dimension of the sphere to grow to infinity slowly with the sample size and for the use of estimated constraints. A normal test is also given. Finally, some simulation results are reported.
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Authors who are presenting talks have a * after their name.
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