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Extended analysis for ranked data with ties
by
John Best
University of Wollongong
Coauthors: Per Brockhoff, KVL University, Copenhagen, J.C.W.Rayner, University of Wollongong
For ranking data from randomized block designs a commonly applied test for difference in average ranks is based on the Friedman statistic. Differences between distributions of ranks can be tested, for non tied data, using the less well known Anderson test. Here we consider ties.
Date received: February 21, 2002
Copyright © 2002 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caij-24.