summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of the linear function of the variance components is presented for the mixed linear model $\bold{t=X\beta+\epsilon}$, $\bold{E(t)=X\beta}$, $\bold{D(t)=0_1U_1+0_2U_2}$ with the unknown variance componets in the normal case. The matrices $\bold{U_1}$, $\bold{U_2}$ may be singular. Applications to two examples of the analysis of variance are given
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
AbstractAlternative estimators have been derived for estimating the variance components according to...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
summary:In the paper four types of estimations of the linear function of the variance components are...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
International audienceWe study a mixed linear model with two variance components. We suppose that on...
In this paper, a linear mixed model which has two random effects is broken up into two models. This ...
Let Y=Xβ + e be a Gauss-Markoff linear model such that E(e)=0 and D(e), the dispersion matrix o...
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...
A method of variance component estimation in univariate mixed linear models based on the exact or a...
AbstractFor the unknown positive parameter σ2 in a general linear model ℳ={y,Xβ,σ2Σ}, the two common...
15 pages, 1 article*Best Linear Unbiased Estimation in Mixed Models of the Analysis of Variance* (Se...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
AbstractAlternative estimators have been derived for estimating the variance components according to...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
summary:In the paper four types of estimations of the linear function of the variance components are...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
International audienceWe study a mixed linear model with two variance components. We suppose that on...
In this paper, a linear mixed model which has two random effects is broken up into two models. This ...
Let Y=Xβ + e be a Gauss-Markoff linear model such that E(e)=0 and D(e), the dispersion matrix o...
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...
A method of variance component estimation in univariate mixed linear models based on the exact or a...
AbstractFor the unknown positive parameter σ2 in a general linear model ℳ={y,Xβ,σ2Σ}, the two common...
15 pages, 1 article*Best Linear Unbiased Estimation in Mixed Models of the Analysis of Variance* (Se...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
AbstractAlternative estimators have been derived for estimating the variance components according to...