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Asymptotic tests for general linear hypotheses on variance components in models of commutative quadratic type

dc.contributor.authorHartung, Joachimde
dc.contributor.authorKnapp, Guidode
dc.date.accessioned2004-12-06T18:38:04Z
dc.date.available2004-12-06T18:38:04Z
dc.date.issued1998de
dc.description.abstractIn this paper we derive asymptotic x^2 -tests for general linear hypotheses on variance components using repeated variance components models. In two examples, the two-way nested classification model and the two-way crossed classification model with interaction, we explicitly investigate the properties of the asymptotic tests in small sample sizes.en
dc.format.extent232195 bytes
dc.format.extent514505 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4820
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5273
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectlinear hypotheses on variance componentsen
dc.subjectrepeated variance components modelen
dc.subjectWald- and likelihood ratio test statisticen
dc.subject.ddc310de
dc.titleAsymptotic tests for general linear hypotheses on variance components in models of commutative quadratic typeen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access
eldorado.dnb.deposittrue

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