summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parameter $\vartheta$ in mixed linear model under linear restrictions of the type $\bold R\vartheta = c$ is defined and derived. As an illustration of this estimator the example of the one-way classification model with the restrictions $\vartheta_1 = k\vartheta_2$, where $k \geq 0$, is given
summary:The paper deals with a linear model with linear variance-covariance structure, where the lin...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
summary:In the paper four types of estimations of the linear function of the variance components are...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
In this paper, a linear mixed model which has two random effects is broken up into two models. This ...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
International audienceWe study a mixed linear model with two variance components. We suppose that on...
AbstractFor the unknown positive parameter σ2 in a general linear model ℳ={y,Xβ,σ2Σ}, the two common...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:The paper deals with a linear model with linear variance-covariance structure, where the lin...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
summary:In the paper four types of estimations of the linear function of the variance components are...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
In this paper, a linear mixed model which has two random effects is broken up into two models. This ...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
International audienceWe study a mixed linear model with two variance components. We suppose that on...
AbstractFor the unknown positive parameter σ2 in a general linear model ℳ={y,Xβ,σ2Σ}, the two common...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:The paper deals with a linear model with linear variance-covariance structure, where the lin...
AbstractThe paper reviews the linear mixed model with a focus on parameter estimation and inference....
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...