Rotation test with pairwise distance measures of sample vectors in a GLM

DOI10.1016/J.JSPI.2009.05.024zbMath1169.62329OpenAlexW2071154206MaRDI QIDQ840745

Daniela Adolf, Siegfried Kropf

Publication date: 14 September 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.05.024

zbMATH Keywords

high-dimensional dataexact parametric testprincipal component testrotation test

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15)

Related Items (2)

A new proposal for a principal component-based test for high-dimensional data applied to the analysis of PhyloChip data ⋮ Use of multivariate distance measures for high‐dimensional data in tests for difference, superiority, equivalence and non‐inferiority

Uses Software

• SAS

Cites Work

• Unnamed Item
• Multivariate tests based on left-spherically distributed linear scores
• New Tests for Data with an Inherent Structure
• Comparison of Independent Samples of High‐Dimensional Data by Pairwise Distance Measures
• Search for relevant sets of variables in a high‐dimensional setup keeping the familywise error rate
• On the exact distribution of Wilks's criterion

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