summary:The paper deals with a linear model with linear variance-covariance structure, where the linear function of the parameter of expectation is to be estimated. The two-stage estimator is based on the observation of the vector $Y$ and on the invariant quadratic estimator of the variance-covariance components. Under the assumption of symmetry of the distribution and existence of finite moments up to the tenth order, an approach to determining the upper bound for the difference in variances of the estimators is proposed, which uses the estimated covariance matrix instead of the real one
AbstractEstimation of variance components in linear model theory is presented as an application of e...
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 ...
summary:The paper deals with a linear model with linear variance-covariance structure, where the lin...
summary:In the paper four types of estimations of the linear function of the variance components are...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
AbstractThe paper consists of two parts. The first part deals with solutions to some optimization pr...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
29 pages, 1 article*Estimating Variance Components in Covariance Models* (Mount, T. D.; Searle, S. R...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
This paper has two di~?tinct parts. The first is a brief account of early work (1939-1953) on varian...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
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 ...
summary:The paper deals with a linear model with linear variance-covariance structure, where the lin...
summary:In the paper four types of estimations of the linear function of the variance components are...
We write a linear model in the form Y=Xβ+Uξ, where β is an unknown parameter and ξ is a hypothetical...
summary:The MINQUE of the linear function $\int'\vartheta$ of the unknown variance-components parame...
AbstractThe paper consists of two parts. The first part deals with solutions to some optimization pr...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
29 pages, 1 article*Estimating Variance Components in Covariance Models* (Mount, T. D.; Searle, S. R...
summary:An estimation of the linear function of elements of unknown matrices in the covariance compo...
The paper consists of two parts. The first part deals with solutions to some optimization problems. ...
This paper has two di~?tinct parts. The first is a brief account of early work (1939-1953) on varian...
summary:In the paper an explicit expression for the Bayes invariant quadratic unbiased estimate of t...
This work aim to introduce a new method of estimating the variance components in mixed linear models...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
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 ...