Maximum Likelihood Estimation Methods for Variance Components in Linear Non-Orthogonal Small Size Design Models

Ferreira, Dário; Ferreira, Sandra S.; Nunes, Célia; Mexia, João T.

http://hdl.handle.net/10400.6/9168

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Abstract(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.