Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/77168 
Authors: 
Year of Publication: 
1998
Series/Report no.: 
Technical Report No. 1998,45
Publisher: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Abstract: 
This 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 is straightforward in contrast to the classic form. An example: 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.
Subjects: 
Variance components
generalized fixed-level test
mixed linear models
nuisance parameters
linear hypotheses
approximate testing
Document Type: 
Working Paper

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