This work was partially supported by national founds of FCT-Foundation for Science and Technology under UID/MAT/00297/2019 and UID/MAT/00212/2019.A linear mixed model whose variance-covariance matrix is a linear combination of known pairwise orthogonal projection matrices that add to the identity matrix, is a model with orthogonal block structure (OBS). OBS have estimators with good behavior for estimable vectors and variance components, moreover it may be interesting that the least squares estimators give the best linear unbiased estimators, for estimable vectors. We can achieve it, requiring commutativity between the orthogonal projection matrix, on the space spanned by the mean vector, and the orthogonal projection matrices involved in t...
An approach for the analysis and inference of unbalanced mixed models is presented. Given a mixed mo...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
La segregación y el emparejamiento son técnicas para estimar las componentesde varianza en modelos m...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
Mixed linear models are a versatile and powerful tool for analysing data collected in experiments in...
Estimators with good behaviors for estimable vectors and variance components are obtained for a cla...
We intend to study the algebraic structure of the simple orthogonal models to use them, through bin...
Models with orthogonal block structure, OBS, have variance covariance matrices that are linear comb...
This work was partially supported by national funds of FCT - Foundation for Science and Technology u...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
Models with commutative orthogonal block structure, COBS, have orthogonal block structure, OBS, and...
Os modelos com Orthogonal Block Structure (OBS) foram introduzidos por Nel der (1965a)[35], (1965b)[...
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
A mixed model Yo = ∑m i=1 Xiβi + ∑i=m+1 w Xiβ̃ + e is orthogonal when the matrices Mi = XiXi T, i = ...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
An approach for the analysis and inference of unbalanced mixed models is presented. Given a mixed mo...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
La segregación y el emparejamiento son técnicas para estimar las componentesde varianza en modelos m...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
Mixed linear models are a versatile and powerful tool for analysing data collected in experiments in...
Estimators with good behaviors for estimable vectors and variance components are obtained for a cla...
We intend to study the algebraic structure of the simple orthogonal models to use them, through bin...
Models with orthogonal block structure, OBS, have variance covariance matrices that are linear comb...
This work was partially supported by national funds of FCT - Foundation for Science and Technology u...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
Models with commutative orthogonal block structure, COBS, have orthogonal block structure, OBS, and...
Os modelos com Orthogonal Block Structure (OBS) foram introduzidos por Nel der (1965a)[35], (1965b)[...
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
A mixed model Yo = ∑m i=1 Xiβi + ∑i=m+1 w Xiβ̃ + e is orthogonal when the matrices Mi = XiXi T, i = ...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
An approach for the analysis and inference of unbalanced mixed models is presented. Given a mixed mo...
Sem PDF. Fundacao para a Ciencia e a Tecnologia (Portuguese Foundation for Science and Technology) t...
La segregación y el emparejamiento son técnicas para estimar las componentesde varianza en modelos m...