summary:The paper deals with the estimation of the unknown vector parameter of the mean and the parameters of the variance in the general $n$-stage linear model. Necessary and sufficient conditions for the existence of the uniformly minimum variance unbiased estimator (UMVUE) of the mean-parameter under the condition of normality are given. The commonly used least squares estimators are used to derive the expressions of UMVUE-s in a simple form
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
summary:The paper deals with the estimation of the unknown vector parameter of the mean and the para...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
AbstractThe paper deals with a multistage linear model that is a special case of a linear model with...
AbstractThe paper deals with a multistage linear model that is a special case of a linear model with...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
summary:Let $\theta^*$ be a biased estimate of the parameter $\vartheta$ based on all observations $...
summary:Let $\theta^*$ be a biased estimate of the parameter $\vartheta$ based on all observations $...
AbstractThe variance of a quadratic function of the random variables in a linear model is minimized ...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
summary:The paper deals with the estimation of the unknown vector parameter of the mean and the para...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
AbstractThe paper deals with a multistage linear model that is a special case of a linear model with...
AbstractThe paper deals with a multistage linear model that is a special case of a linear model with...
summary:The paper deals with the estimation of unknown vector parameter of mean and scalar parameter...
summary:Let $\theta^*$ be a biased estimate of the parameter $\vartheta$ based on all observations $...
summary:Let $\theta^*$ be a biased estimate of the parameter $\vartheta$ based on all observations $...
AbstractThe variance of a quadratic function of the random variables in a linear model is minimized ...
AbstractEstimation of variance components in linear model theory is presented as an application of e...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
summary:The paper deals with the linear model with uncorrelated observations. The dispersions of the...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...
summary:In the paper necessary and sufficient conditions for the existence and an explicit expressio...
summary:The paper deals with an optimal estimation of the quadratic function $\bold{\beta'D\beta}$, ...