34 citations · 210 across the 43 of their papers we have counts for
6 papers · 1 filter
Nonparametric MANOVA in Mann-Whitney effects
Dennis Dobler, Sarah Friedrich, Markus Pauly
Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify main and interaction effects in metric multivariate multi-factor data. It is, ho…
Who wins the Miss Contest for Imputation Methods? Our Vote for Miss BooPF
Burim Ramosaj, Markus Pauly
Missing data is an expected issue when large amounts of data is collected, and several imputation techniques have been proposed to tackle this problem. Beneath classical approaches…
Wild Bootstrapping Rank-Based Procedures: Multiple Testing in Nonparametric Split-Plot Designs
Maria Umlauft, Marius Placzek, Frank Konietschke +1
Split-plot or repeated measures designs are frequently used for planning experiments in the life or social sciences. Typical examples include the comparison of different treatments…
Small-sample performance and underlying assumptions of a bootstrap-based inference method for a general analysis of covariance model with possibly heteroskedastic and nonnormal errors
Georg Zimmermann, Markus Pauly, Arne C. Bathke
It is well known that the standard F test is severely affected by heteroskedasticity in unbalanced analysis of covariance (ANCOVA) models. Currently available potential remedies fo…
Inference For High-Dimensional Split-Plot-Designs: A Unified Approach for Small to Large Numbers of Factor Levels
Paavo Sattler, Markus Pauly
Statisticians increasingly face the problem to reconsider the adaptability of classical inference techniques. In particular, divers types of high-dimensional data structures are ob…
MATS: Inference for potentially Singular and Heteroscedastic MANOVA
Sarah Friedrich, Markus Pauly
In many experiments in the life sciences, several endpoints are recorded per subject. The analysis of such multivariate data is usually based on MANOVA models assuming multivariate…