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

Ferreira, DárioFerreira, Sandra S.Nunes, CéliaMexia, João T.2020-02-102020-02-102010http://hdl.handle.net/10400.6/9168We 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.engNormal linear mixed modelsVariance componentsMaximum likelihood estimation methodsMaximum Likelihood Estimation Methods for Variance Components in Linear Non-Orthogonal Small Size Design Modelsjournal article10.1063/1.3497905