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This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

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Activity Number: 51
Type: Invited
Date/Time: Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
Sponsor: ENAR
Abstract - #302759
Title: Using the Bootstrap to Quantify the Authority of an Empirical Ranking
Author(s): Peter G. Hall*+
Companies: The University of Melbourne
Address: Department of Mathematics and Statistics, Melbourne, 3010, Australia
Keywords: Bootstrap ; Ordering ; Ranking ; Genomics
Abstract:

The bootstrap is a popular and convenient method for quantifying an empirical ordering of attributes, for example of a ranking of the influence of genes on a response variable. In this example the number, p, of quantities being ordered is generally much larger than sample size. We discuss the performance of the standard bootstrap when used to measure the variability of ranks, and suggest improvements.


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