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Activity Number: 249
Type: Contributed
Date/Time: Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #308767
Title: Nonparametric Tests and Finite Approximations for Balanced and Unbalanced Multivariate Data, with Applications
Author(s): Arne Bathke*+ and Solomon W. Harrar
Companies: University of Kentucky and University of Montana
Address: Department of Statistics, Lexington, KY, 40506-0027,
Keywords: Multivariate Tests ; Nonparametric Methods ; Unbalanced Design
Abstract:

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.

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Revised September, 2007