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Main Author: Rolke, Wolfgang
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.12089
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author Rolke, Wolfgang
author_facet Rolke, Wolfgang
contents We present the results of a large number of simulation studies regarding the power of various goodness-of-fit as well as non-parametric two-sample tests for multivariate data. In two dimensions this includes both continuous and discrete data, in higher dimensions continuous data only. In general no single method can be relied upon to provide good power, any one method may be quite good for some combination of null hypothesis and alternative and may fail badly for another. Based on the results of these studies we propose a fairly small number of methods chosen such that for any of the case studies included here at least one of the methods has good power. The studies were carried out using the R packages MD2sample and MDgof, available from CRAN.
format Preprint
id arxiv_https___arxiv_org_abs_2605_12089
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data
Rolke, Wolfgang
Methodology
Instrumentation and Methods for Astrophysics
High Energy Physics - Experiment
Applications
We present the results of a large number of simulation studies regarding the power of various goodness-of-fit as well as non-parametric two-sample tests for multivariate data. In two dimensions this includes both continuous and discrete data, in higher dimensions continuous data only. In general no single method can be relied upon to provide good power, any one method may be quite good for some combination of null hypothesis and alternative and may fail badly for another. Based on the results of these studies we propose a fairly small number of methods chosen such that for any of the case studies included here at least one of the methods has good power. The studies were carried out using the R packages MD2sample and MDgof, available from CRAN.
title Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data
topic Methodology
Instrumentation and Methods for Astrophysics
High Energy Physics - Experiment
Applications
url https://arxiv.org/abs/2605.12089