Abstract Details
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Activity Number:
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424
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Type:
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Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 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 - #308361 |
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Title:
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A Stochastic Representation for the Lp-Norm Symmetric Distribution and Its Applications
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Author(s):
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Jiajuan Liang*+
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Companies:
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University of New Haven
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Keywords:
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lp-norm symmetric distribution ;
statistical simulation ;
stochastic representation ;
uniform design
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Abstract:
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The family of lp-norm symmetric distributions was proposed by Yue and Ma (1995) and is a natural generalization to the family of l1-norm symmetric distributions studied by Fang, Kotz and Ng (1990). In this paper, we propose a stochastic representation for the lp-norm symmetric distribution for any constant p>0. The stochastic representation is expressed by a function of independent and identically distributed uniform U(0,1) random variables. It is illustrated that the stochastic representation can be applied to statistical simulation and uniform experimental design.
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Authors who are presenting talks have a * after their name.
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