Maximum likelihood estimation of variance components for a multivariate mixed model with equal design matrices.
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.
D000704:Analysis of Variance; D000818:Animals; D001699:Biometry; D002417:Cattle; D005260:Female; D008297:Male; D008892:Milk / Q000032:analysis; D008954:Models, Biological; D012107:Research Design