Data Compression and Statistical Inference

Abstract

Data driven methods for clustering and vector quantization can be used to construct nonparametric tests for multivariate testing problems. We combine the old concept of permutation tests with recent clustering algorithms to obtain multivariate inferential methods which in the univariate case are very similar to rank tests. At hand of computer experiments we illustrate some typical properties of those methods. For theoretical results we give references to the literature.