Nonparametric MANOVA in meaningful effects

DOI10.1007/s10463-019-00717-3zbMath1445.62086arXiv1712.06983OpenAlexW2934210640WikidataQ128079278 ScholiaQ128079278MaRDI QIDQ778880

Markus Pauly, Sarah Friedrich, Dennis Dobler

Publication date: 20 July 2020

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1712.06983

zbMATH Keywords

wild bootstrapmultivariate datamultiple samplescovariance heteroscedasticitymultivariate ordinal datarank-based methods

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05) Hypothesis testing in multivariate analysis (62H15) Nonparametric statistical resampling methods (62G09) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (6)

Pseudo-Ranks: The Better Way of Ranking? ⋮ Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs ⋮ Tree-based ensembles for multi-output regression: comparing multivariate approaches with separate univariate ones ⋮ Estimating a new stress–strength index for several exponential populations with a common location ⋮ Quantile-based MANOVA: a new tool for inferring multivariate data in factorial designs ⋮ Recent developments in high-dimensional inference for multivariate data: parametric, semiparametric and nonparametric approaches

Uses Software

• R
• ElemStatLearn
• npmv
• GenOrd

Cites Work

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