Title: Maximum Likelihood Estimation of Variance Components for a Multivariate Mixed Model with Equal Design Matrices
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.
Publication Year: 1985
Publication Date: 1985-03-01
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
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Cited By Count: 215
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