Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure

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

http://hdl.handle.net/10400.6/9135

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
2013 - Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure.pdf		3.45 MB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

Segregation and matching are techniques to estimate variance compo- nents in mixed models. A question arising is whether segregation can be applied in situations where matching does not apply. Our motivation for this research relies on the fact that we want an answer to that question and to explore this important class of models that can contribute to the devel- opment of mixed models. That is possible using the algebraic structure of mixed models. We present two examples showing that segregation can be applied in situations where matching does not apply.

Keywords

Commutative Jordan Algebra Mixed Model Variance Components

URI

http://hdl.handle.net/10400.6/9135

Citation

Sandra S. Ferreira, Dário Ferreira, Célia Nunes and João T. Mexia (2013).Estimation of Variance Components in Linear Mixed Models with Commutative Orthogonal Block Structure. Revista Colombiana de Estadística 36, 2 261-271.