Estimation of Box's ε for low- and high-dimensional repeated measures designs with unequal covariance matrices
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Publication:2902541
DOI10.1002/bimj.201100160zbMath1441.62296OpenAlexW2130540151WikidataQ45049748 ScholiaQ45049748MaRDI QIDQ2902541
Arne C. Bathke, Edgar Brunner, Marius Placzek
Publication date: 21 August 2012
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.201100160
Related Items (7)
Permuting longitudinal data in spite of the dependencies ⋮ Inference for low- and high-dimensional multigroup repeated measures designs with unequal covariance matrices ⋮ New insights on permutation approach for hypothesis testing on functional data ⋮ Inference for high-dimensional split-plot-designs: a unified approach for small to large numbers of factor levels ⋮ Accurate inference for repeated measures in high dimensions ⋮ A comprehensive treatment of quadratic-form-based inference in repeated measures designs under diverse asymptotics ⋮ High-dimensional repeated measures
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- Testing the Hypothesis of no Fixed Main-Effects in Scheffe's Mixed Model
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- Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, II. Effects of Inequality of Variance and of Correlation Between Errors in the Two-Way Classification
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