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Nonparametric Analysis of Multivariate Data
by
Arne C. Bathke
University of Kentucky
Coauthors: Solomon W. Harrar
We consider multivariate data from different experiments (e.g., plant disease response data). To analyze this type of data, we propose different nonparametric tests for multivariate observations in balanced and unbalanced one-way layouts and present the corresponding asymptotic results. In addition, we investigate several small-sample approximations and compare their performance for different simulated situations with continuous and discrete observations, including high-dimensional data.
Date received: February 19, 2007
Copyright © 2007 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 # cata-77.