Testing hypotheses about correlation matrices in general MANOVA designs

dc.contributor.authorSattler, Paavo
dc.contributor.authorPauly, Markus
dc.date.accessioned2024-11-15T12:01:46Z
dc.date.available2024-11-15T12:01:46Z
dc.date.issued2023-12-12
dc.description.abstractCorrelation matrices are an essential tool for investigating the dependency structures of random vectors or comparing them. We introduce an approach for testing a variety of null hypotheses that can be formulated based upon the correlation matrix. Examples cover MANOVA-type hypothesis of equal correlation matrices as well as testing for special correlation structures such as sphericity. Apart from existing fourth moments, our approach requires no other assumptions, allowing applications in various settings. To improve the small sample performance, a bootstrap technique is proposed and theoretically justified. Based on this, we also present a procedure to simultaneously test the hypotheses of equal correlation and equal covariance matrices. The performance of all new test statistics is compared with existing procedures through extensive simulations.en
dc.identifier.urihttp://hdl.handle.net/2003/42758
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-24590
dc.language.isoen
dc.relation.ispartofseriesTest; 33(2)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBootstrapen
dc.subjectMultivariate dataen
dc.subjectNonparametric testingen
dc.subjectResamplingen
dc.subjectCorrelation matricesen
dc.subjectQuadratic formsen
dc.subject.ddc310
dc.titleTesting hypotheses about correlation matrices in general MANOVA designsen
dc.typeText
dc.type.publicationtypeArticle
dcterms.accessRightsopen access
eldorado.secondarypublicationtrue
eldorado.secondarypublication.primarycitationSattler, P. and Pauly, M. (2024) ‘Testing hypotheses about correlation matrices in general MANOVA designs’, Test, 33(2), pp. 496–516. Available at: https://doi.org/10.1007/s11749-023-00906-6en
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1007%2Fs11749-023-00906-6

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