Rotation test with pairwise distance measures of sample vectors in a GLM |
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Authors: | Siegfried Kropf Daniela Adolf |
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Institution: | aInstitute for Biometry and Medical Informatics, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany |
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Abstract: | One way to cope with high-dimensional data even in small samples is the use of pairwise distance measures—such as the Euclidean distance—between the sample vectors. This is usually done with permutation tests. Here we propose the application of exact parametric rotation tests which are no longer restricted by the finite number of possible permutations of a sample. The method is presented in the framework of the general linear model. |
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Keywords: | Exact parametric test High-dimensional data Principal component test Rotation test |
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