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Abstract Details

Activity Number: 476
Type: Contributed
Date/Time: Wednesday, August 1, 2012 : 8:30 AM to 10:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #304068
Title: Outliers: an evaluation of methodologies
Author(s): Dhirendra Ghosh*+ and Andrew Vogt
Companies: Synectics for Management Decisions and Georgetown University
Address: 1901 North Moore Street, Arlington, VA, 22209-1728, United States
Keywords: bias ; extreme value theory ; Grubbs' test ; heavy-tail phenomena ; mixture models ; Winsorization

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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