The general unbalanced mixed linear model with two variance components is considered. Through resampling it is demonstrated how the fixed effects can be estimated explicitly. It is shown that the obtained nonlinear estimator is unbiased and its variance is also derived. A condition is given when the proposed estimator is recommended instead of the ordinary least squares estimator.Funding Agencies|Swedish Foundation for Humanities and Social sciences [P14-0641:1]</p
summary:The paper presents some approximate and exact tests for testing variance components in gener...
A broad definition is given of balanced data in mixed models. For all such models, it is shown that ...
AbstractIn mixed linear models with two variance components, classes of estimators improving on ANOV...
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...
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...
AbstractAn unbalanced mixed linear model with two variance components is considered, one variance co...
An unbalanced mixed linear model with two variance components is considered, one variance component ...
AbstractAlternative estimators have been derived for estimating the variance components according to...
Alternative estimators have been derived for estimating the variance components according to Iterati...
summary:The paper presents some approximate and exact tests for testing variance components in gener...
A broad definition is given of balanced data in mixed models. For all such models, it is shown that ...
AbstractIn mixed linear models with two variance components, classes of estimators improving on ANOV...
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...
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...
AbstractAn unbalanced mixed linear model with two variance components is considered, one variance co...
An unbalanced mixed linear model with two variance components is considered, one variance component ...
AbstractAlternative estimators have been derived for estimating the variance components according to...
Alternative estimators have been derived for estimating the variance components according to Iterati...
summary:The paper presents some approximate and exact tests for testing variance components in gener...
A broad definition is given of balanced data in mixed models. For all such models, it is shown that ...
AbstractIn mixed linear models with two variance components, classes of estimators improving on ANOV...