ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS
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 thei...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade de São Paulo
1998-01-01
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| Series: | Scientia Agricola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90161998000200019 |
| Summary: | 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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| ISSN: | 0103-9016 1678-992X |