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Orientador(es)
Resumo(s)
We compare four Maximum Likelihood Estimation methods for estimating variance components in normal linear mixed models, in the case of unbalanced small size design models: The Newton-Raphson, the Triple Minimization, the Gradient and a method where the starting points for the Newton-Raphson are the estimates obtained with the Triple Minimization method.
Descrição
Palavras-chave
Normal linear mixed models Variance components Maximum likelihood estimation methods