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dc.contributor.authorHartung, Joachimde
dc.contributor.authorMakambi, K. H.de
dc.date.accessioned2004-12-06T18:39:47Z-
dc.date.available2004-12-06T18:39:47Z-
dc.date.issued1999de
dc.identifier.urihttp://hdl.handle.net/2003/4925-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-5425-
dc.description.abstractThe variance function of the optimal estimator of the overall mean in a heteroscedastic one-way ANOVA model is dominated by positive semi-definite quadratic functions. This makes it possible to develop closely related tests on the nullity of the overall mean parameter, in one-way fifixed and random effects ANOVA models, which make use of the quantiles of the t-distribution. These tests are founded on the convexity arguments similar to Hartung (1976). Simulation results indicate that the proposed tests attain type I error rates which are far more acceptable than those of the commonly used tests.en
dc.format.extent126030 bytes-
dc.format.extent166238 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/postscript-
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subjectbalanced and unbalanced samplesen
dc.subjectestimated degrees of freedomen
dc.subjectfixed and random effects modelsen
dc.subjecthomoscedastic and heteroscedastic error variancesen
dc.subjectreplicationen
dc.subjecttype I error rateen
dc.subject.ddc310de
dc.titleSimple t-distribution Based Tests for Meta-Analysisen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
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