Statistics Colloquium
November 4 (Fri) 11 a.m.
Alavi Commons Room, 6625 Everett Tower

Nonparametric Inference for Multivariate and Repeated Measures Data

Arne Bathke
Department of Statistics
University of Kentucky

Data obtained through observational or experimental studies, for example in the life sciences or social sciences, are often intrinsically multivariate because several response variables are measured on the same experimental unit (multiple endpoints). We present new nonparametric methods for statistical inference based on such data. The nonparametric approach does not need the assumption of normality, and it has the advantage that it can handle quantitative, as well as ordinal response variables, or a mixture of both. Furthermore, the proposed tests are invariant under monotone transformations of the original data. We will present asymptotic results for different situations, supplemented by results from simulation studies, as well as the analysis of a data example.

All statistics students are expected to attend.


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Department of Statistics
3304 Everett Tower
Western Michigan University
Kalamazoo MI 49008-5152 USA
(269) 387-1420 | (269) 387-1419 Fax