Course detail

LCE5714 - Mixed Models and Variance Components

Credit hours

In-class work
per week
per week
15 weeks
120 hours

Clarice Garcia Borges Demetrio
Cristian Marcelo Villegas Lobos

Enable the student to define mixed models, to calculate the expectation of mean squares or to use the Hasse diagrams to get them. Enable the student to make applications of variance components, using R and SAS softwares.

Mixed model definition. Expectation of mean squares for completely randomized designs, randomized complete block designs, latin saquare designs, split-plot designs, hierarchical designs and series of experiments. Hasse Diagram. Estimation methods (moment method, maximum likelihood, restricted maximum likelihood) for variance components. Hypotheses testing and confidence intervals for variance components. Aplications in sampling and breeding.

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