This work was partially supported by national funds of FCT - Foundation for Science and Technology under UID/MAT/00212/2013.This paper deals with estimability of variance components in mixed models when all model matrices commute. In this situation, it is well known that the best linear unbiased estimators of fixed effects are the ordinary least squares estimators. If, in addition, the family of possible variance-covariance matrices forms an orthogonal block structure, then there are the same number of variance components as strata, and the variance components are all estimable if and only if there are non-zero residual degrees of freedom in each stratum. We investigate the case where the family of possible variance-covariance matrices, whi...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
Models with orthogonal block structure, OBS, have variance covariance matrices that are linear comb...
Estimators with good behaviors for estimable vectors and variance components are obtained for a cla...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
summary:A linear model with approximate variance components is considered. Differences among approxi...
summary:A linear model with approximate variance components is considered. Differences among approxi...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
This work was partially supported by national founds of FCT-Foundation for Science and Technology un...
Models with orthogonal block structure, OBS, have variance covariance matrices that are linear comb...
Estimators with good behaviors for estimable vectors and variance components are obtained for a cla...
Linear mixed models are useful in biology, genetics, medical research, agriculture, industry, and ma...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
summary:A linear model with approximate variance components is considered. Differences among approxi...
summary:A linear model with approximate variance components is considered. Differences among approxi...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...