Add to ORKGA broad definition is given of balanced data in mixed models. For all such models, it is shown that the BLUE (best linear unbiased estimator) of an estimable function of the fixed effects is the same as the ordinary least squares estimator (OLSE). 1
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
<p>Best linear unbiased estimates of fixed effects (method:lane) and estimated random effect (plant:...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
15 pages, 1 article*Best Linear Unbiased Estimation in Mixed Models of the Analysis of Variance* (Se...
Three contributions to estimation and prediction in mixed models of the analysis of variance are des...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
Best linear unbiased estimators (BLUE’s) are known to be optimal in many respects under normal assum...
New results in matrix algebra applied to the fundamental bordered matrix of linear estimation theory...
AbstractNew results in matrix algebra applied to the fundamental bordered matrix of linear estimatio...
It is well known that there were proved several necessary and sufficient conditions for the ordinary...
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
<p>Best linear unbiased estimates of fixed effects (method:lane) and estimated random effect (plant:...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...
15 pages, 1 article*Best Linear Unbiased Estimation in Mixed Models of the Analysis of Variance* (Se...
Three contributions to estimation and prediction in mixed models of the analysis of variance are des...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
Best linear unbiased estimators (BLUE’s) are known to be optimal in many respects under normal assum...
New results in matrix algebra applied to the fundamental bordered matrix of linear estimation theory...
AbstractNew results in matrix algebra applied to the fundamental bordered matrix of linear estimatio...
It is well known that there were proved several necessary and sufficient conditions for the ordinary...
Mixed models whose variance–covariance matrices are the positive definite linear combinations of pai...
<p>Best linear unbiased estimates of fixed effects (method:lane) and estimated random effect (plant:...
AbstractThe mixed model of analysis of variance is a linear model in which some terms that would oth...