Exact Tests for Variance Components in Unbalanced Mixed Linear Models
BiometricsPublished 1 March 1993
Jukka Öfversten
Citations42
SJR quartileQ1
SJR score1.26
SNIP1.20
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Abstract
A method for deriving exact tests for variance components in some unbalanced mixed linear models is presented. The derivation is based on a new kind of preliminary orthogonal transformation and a subsequent resampling procedure. The resulting tests are based on mutually independent sums of squares which, under the null hypothesis, are distributed as scalar multiples of chi-square variates. For balanced data, the tests are identical to the traditional F tests.
Keywords
Decision SciencesAgricultural and Biological SciencesBiochemistry, Genetics and Molecular Biology
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