Abstract
A method for constructing approximative tests for arbitrary linear hypotheses on variance components in unbalanced mixed linear models is derived. The idea of cell mean models is used to derive independent and x2 - distributed mean squares. These modified mean squares are combined to generalized test statistics which lead to generalized fixed level tests.
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