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Abstract Details

Activity Number: 613
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #304992
Title: Is There a Partial Consensus Ordering Between Rankings?
Author(s): Srinath Sampath*+ and Joseph Verducci
Companies: The Ohio State University and The Ohio State University
Address: Department of Statistics, Columbus, OH, 43210, United States
Keywords: partial rankings ; top-K rank list ; rank aggregation ; multistage model ; maximum likelihood estimation ; consensus

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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