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

Biometrics. 1985 Mar;41(1):153-65.


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 types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Analysis of Variance
  • Animals
  • Biometry*
  • Cattle
  • Female
  • Male
  • Milk / analysis
  • Models, Biological*
  • Research Design*