Inference for Multivariate Data

Authors

Arne Bathke, University of Kentucky

Document Type

Presentation Abstract

Presentation Date

9-8-2008

Abstract

Multivariate data appear naturally in the life sciences because usually more than one response variable is of interest ("multiple endpoints"). We look at different ways to analyze multivariate data. Methodological advancements in recent years have made it possible to analyze many multivariate data sets using completely nonparametric methods. We will provide an overview of current statistical research on these methods, illustrated by examples. In particular, we will focus on inference methods that can be used when the data have a mix of ordinal and quantitative response variables.

Additional Details

Monday, 8 September 2008
3:10 p.m. in Math 103
4:00 p.m. Refreshments in Math Lounge 109

Recommended Citation

Bathke, Arne, "Inference for Multivariate Data" (2008). Colloquia of the Department of Mathematical Sciences. 302.
https://scholarworks.umt.edu/mathcolloquia/302