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Activity Number:
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564
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Type:
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Contributed
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Date/Time:
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Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #305774 |
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Title:
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Estimation of the Proportion of Exponential Signals
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Author(s):
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Deepak Ayyala*+ and Junyong Park and Anindya Roy
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Companies:
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University of Maryland, Baltimore County and University of Maryland, Baltimore County and University of Maryland, Baltimore County
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Address:
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, , 21043,
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Keywords:
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proportion estimation ; fourier transform ; exponential signals
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Abstract:
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The problem of estimation of the proportion of null hypotheses in multiple testing scenario has been studied in the past but most of the methods concentrate on the case when the observations are distributed according to a location-parameter family. In our study, we propose an estimator of the proportion of non-null hypotheses when observations are exponentially distributed. We provide results from a simulation study to illustrate the finite sample performance of the proposed estimator.
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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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