Analysis of high-dimensional repeated measures designs: the one sample case

DOI10.1016/j.csda.2008.08.013zbMath1294.62124OpenAlexW1981989133MaRDI QIDQ961127

Edgar Brunner, M. Rauf Ahmad, Carola Werner

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.013

Mathematics Subject Classification ID

Related Items (11)

Permuting longitudinal data in spite of the dependencies ⋮ Analysis of high-dimensional one group repeated measures designs ⋮ Testing high-dimensional mean vector with applications. A normal reference approach ⋮ A note on the unbiased estimator of \(\mathbf{\Sigma}^2\) ⋮ Likelihood ratio tests for elaborate covariance structures and for MANOVA models with elaborate covariance structures -- a review ⋮ A \(U\)-statistic approach for a high-dimensional two-sample mean testing problem under non-normality and Behrens-Fisher setting ⋮ Choosing appropriate covariance matrices in a nonparametric analysis of factorials in block designs ⋮ Tests for covariance matrices in high dimension with less sample size ⋮ Inference for high-dimensional split-plot-designs: a unified approach for small to large numbers of factor levels ⋮ Tests for high-dimensional covariance matrices using the theory ofU-statistics ⋮ Tests of Covariance Matrices for High Dimensional Multivariate Data Under Non Normality

Cites Work

• Multivariate analysis of variance with fewer observations than the dimension
• Nonparametric methods for unbalanced multivariate data and many factor levels
• How to compare small multivariate samples using nonparametric tests
• Rank-score tests in factorial designs with repeated measures
• ANOVA for a large number of treatments
• Nonparametric methods in multivariate factorial designs for large number of factor levels
• A test for the mean vector with fewer observations than the dimension
• Statistical Methods for the Analysis of Repeated Measurements
• Analysis of Repeated Measures
• Box-Type Approximations in Nonparametric Factorial Designs
• Applied Multivariate Analysis
• Multivariate Theory for Analyzing High Dimensional Data
• Linear Statistical Inference and its Applications
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification
• Matrix theory. Basic results and techniques
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