Testing linear forms of variance components by generalized fixed-level tests

dc.contributor.authorWeimann, Borisde
dc.date.accessioned2004-12-06T18:39:01Z
dc.date.available2004-12-06T18:39:01Z
dc.date.issued1998de
dc.description.abstractThis report extends the technique of testing single variance components with generalized fixed-level tests - in situations when nuisance parameters make exact testing impossible - to the more general way of testing hypotheses on linear forms of variance components. An extension of the definition of a generalized test variable leads to a generalized fixed-level test for arbitrary linear hypotheses on variance components in balanced mixed linear models of the ANOVA-type. For point null hypotheses an alternative for the known method is given, which ist straightforward in contrast to the classic form. An example (2-way nested classification with random effects) illustrates the way how to use the results and simulation studies are carried out to prove the quality of the presented methods.en
dc.format.extent284115 bytes
dc.format.extent420907 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4884
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-16155
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectapproximate testingen
dc.subjectgeneralized fixed-level testen
dc.subjectlinear hypothesesen
dc.subjectmixed linear modelsen
dc.subjectnuisance parametersen
dc.subjectvariance componentsen
dc.subject.ddc310de
dc.titleTesting linear forms of variance components by generalized fixed-level testsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access
eldorado.dnb.deposittrue

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