AbstractAn unbalanced mixed linear model with two variance components is considered, one variance component (say σ12 ≥ 0) corresponding to a random effect (treatments) and a second variance component (say σ2 > 0) corresponding to the experimental errors. Sufficient conditions are obtained under which there will exist a nonnegative invariant quadratic estimator (IQE) having a uniformly smaller mean squared error (MSE) than every unbiased IQE of σ12. In particular, for the one-way unbalanced ANOVA model, necessary and sufficient conditions are also obtained for a multiple of the usual treatment sum of squares to uniformly dominate the ANOVA estimator of σ12. For estimating σ2, it is shown that the best multiple of the residual sum of squares ...
A nonnegative variance estimation procedure is suggested for an unbalanced data where two factors ar...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
There is considerable amount of literature dealing with inference about the parameters in a heterosc...
An unbalanced mixed linear model with two variance components is considered, one variance component ...
AbstractAn unbalanced mixed linear model with two variance components is considered, one variance co...
AbstractIn mixed linear models with two variance components, classes of estimators improving on ANOV...
In mixed linear models with two variance components, classes of estimators improving on ANOVA estima...
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...
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...
AbstractAlternative estimators have been derived for estimating the variance components according to...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
A nonnegative variance estimation procedure is suggested for an unbalanced data where two factors ar...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
There is considerable amount of literature dealing with inference about the parameters in a heterosc...
An unbalanced mixed linear model with two variance components is considered, one variance component ...
AbstractAn unbalanced mixed linear model with two variance components is considered, one variance co...
AbstractIn mixed linear models with two variance components, classes of estimators improving on ANOV...
In mixed linear models with two variance components, classes of estimators improving on ANOVA estima...
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...
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...
AbstractAlternative estimators have been derived for estimating the variance components according to...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
A nonnegative variance estimation procedure is suggested for an unbalanced data where two factors ar...
The general unbalanced mixed linear model with two variance components is considered. Through resamp...
There is considerable amount of literature dealing with inference about the parameters in a heterosc...