Scientia Agricola (Jan 1998)

ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS

  • LÓPEZ L.A.,
  • IEMMA A.F.

Journal volume & issue
Vol. 55, no. 2
pp. 291 – 295

Abstract

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Beginning with the classical Gauss-Markov Linear Model for mixed effects and using the technique of the Lagrange multipliers to obtain an alternative method for the estimation of linear predictors. A structural method is also discussed in order to obtain the variance and covariance matrixes and their inverses.

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