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Abstract Details
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Activity Number:
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476
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 8:30 AM to 10:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304068 |
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Title:
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Outliers: an evaluation of methodologies
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Author(s):
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Dhirendra Ghosh*+ and Andrew Vogt
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Companies:
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Synectics for Management Decisions and Georgetown University
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Address:
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1901 North Moore Street, Arlington, VA, 22209-1728, United States
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Keywords:
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bias ;
extreme value theory ;
Grubbs' test ;
heavy-tail phenomena ;
mixture models ;
Winsorization
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Abstract:
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Given a random sample x1, x2, ., xn from a population, we examine circumstances that lead to some of the values being deemed outliers and the methodologies proposed to analyze the data set in the presence of these outliers. We review methods of determining outliers and propose general principles for how to proceed. Often a mixture approach is appropriate: most observations seem to follow a pattern or to satisfy a model, while the outliers remain outside the pattern or model and require further investigation.
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Authors who are presenting talks have a * after their name.
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