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PubMed · 4005372

Maximum likelihood estimation of variance components for a multivariate mixed model with equal design matrices.

K Meyer
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Abstract

An algorithm is described for estimating variance and covariance components by restricted maximum likelihood for a multivariate mixed two-way classification with equal design matrices. The procedure involves a transformation to canonical scale, effectively reducing a q-variate analysis to q corresponding univariate analyses. A small numerical example is given as well as a large-scale practical application.

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Analysis of VarianceAnimalsBiometryCattleFemaleMaleMilkModels, BiologicalResearch DesignJournal ArticleResearch Support, Non-U.S. Gov't

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K Meyer. 1985. Maximum likelihood estimation of variance components for a multivariate mixed model with equal design matrices.. https://pubmed.ncbi.nlm.nih.gov/4005372/

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