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Abstract Details
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Activity Number:
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613
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Learning and Data Mining
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| Abstract - #304992 |
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Title:
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Is There a Partial Consensus Ordering Between Rankings?
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Author(s):
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Srinath Sampath*+ and Joseph Verducci
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Companies:
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The Ohio State University and The Ohio State University
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Address:
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Department of Statistics, Columbus, OH, 43210, United States
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Keywords:
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partial rankings ;
top-K rank list ;
rank aggregation ;
multistage model ;
maximum likelihood estimation ;
consensus
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Abstract:
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We propose an innovative approach to the problem recently posed by Hall and Schimek (2012): determining at what point the agreement between two rankings of a long list of items degenerates into noise. We modify the method of estimation in Fligner and Verducci's (1988) multistage model for rankings, from maximum likelihood of conditional agreement over a sample of rankings to a locally smooth estimator of agreement. Through simulations we show that this innovation performs very well under several conditions. Some ramifications are discussed as planned extensions.
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