activity
20162023
most citedOptimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test

80 citations · 135 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2023★ 1 cited

Combining Stochastic Tendency and Distribution Overlap Towards Improved Nonparametric Effect Measures and Inference

Jonas Beck, Patrick B. Langthaler, Arne C. Bathke

A fundamental functional in nonparametric statistics is the Mann-Whitney functional , which constitutes the basis for the most popular nonparametric procedures. Th…

math.ST2019★ 10 cited

Testing Hypotheses about Covariance Matrices in General MANOVA Designs

Paavo Sattler, Arne C. Bathke, Markus Pauly

We introduce a unified approach to testing a variety of rather general null hypotheses that can be formulated in terms of covariances matrices. These include as special cases, for…

stat.ME2019★ 7 cited

Multivariate analysis of covariance when standard assumptions are violated

Georg Zimmermann, Markus Pauly, Arne C. Bathke

In applied research, it is often sensible to account for one or several covariates when testing for differences between multivariate means of several groups. However, the "classica…

stat.ME2018★ 6 cited

Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates

Georg Zimmermann, Meinhard Kieser, Arne Bathke

When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates (e.g., baseline measurements) is usually recommended, in order to reduc…

stat.ME2018★ 80 cited

Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test

Martin Happ, Arne C. Bathke, Edgar Brunner

There are many different proposed procedures for sample size planning for the Wilcoxon-Mann-Whitney test at given type-I and type-II error rates and , respectively. Most met…

math.ST2018★ 8 cited

Ranks and Pseudo-Ranks - Paradoxical Results of Rank Tests -

Edgar Brunner, Frank Konietschke, Arne C. Bathke +1

Rank-based inference methods are applied in various disciplines, typically when procedures relying on standard normal theory are not justifiable, for example when data are not symm…