AbstractConsider the linear model {y,Xβ, σ2V}, where X has full column rank and V is positive definite. We study the consequences of deleting one observation on the equality between the ordinary least squares estimator of β and the best linear estimator of β assuming that they are equal in the original model
In this article we consider the partitioned fixed linear model F : y = X1β1 + X2β2 + ε" and the corr...
AbstractIn this paper we consider a partitioned linear model (Y, X1β1 + X2β2, σ2Ω) where Ω is positi...
Necessary and sufficient conditions for the equality of ordinary least squares and generalized least...
AbstractConsider the linear model {y,Xβ, σ2V}, where X has full column rank and V is positive defini...
AbstractIn the linear model {y,Xβ,V} the inefficiency of the ordinary least squares estimator of Xβ ...
In this paper we consider the linear model {y, Xβ, σ2V}, where X has full column rank. Denote the or...
In this article, we consider the partitioned linear model M12(V0)={y,X1β1+X2β2,V0} and the correspon...
It is well known that there were proved several necessary and sufficient conditions for the ordinary...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
In this article we consider the partitioned fixed linear model F: Y = X1β1+ X2β2 + ε and the corres...
AbstractNew results in matrix algebra applied to the fundamental bordered matrix of linear estimatio...
In this article we consider the partitioned linear model M12={y, X1β1+X2β2, V} and the corresponding...
AbstractPuntanen et al. [J. Statist. Plann. Inference 88 (2000) 173] provided two matrix-based proof...
In this article we consider the partitioned linear model M12={y, X1β1+X2β2, V} and the corresponding...
In this article we consider the partitioned fixed linear model F : y = X1β1 + X2β2 + ε" and the corr...
AbstractIn this paper we consider a partitioned linear model (Y, X1β1 + X2β2, σ2Ω) where Ω is positi...
Necessary and sufficient conditions for the equality of ordinary least squares and generalized least...
AbstractConsider the linear model {y,Xβ, σ2V}, where X has full column rank and V is positive defini...
AbstractIn the linear model {y,Xβ,V} the inefficiency of the ordinary least squares estimator of Xβ ...
In this paper we consider the linear model {y, Xβ, σ2V}, where X has full column rank. Denote the or...
In this article, we consider the partitioned linear model M12(V0)={y,X1β1+X2β2,V0} and the correspon...
It is well known that there were proved several necessary and sufficient conditions for the ordinary...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
summary:Necessary and sufficient conditions are given under which the best linear unbiased estimator...
In this article we consider the partitioned fixed linear model F: Y = X1β1+ X2β2 + ε and the corres...
AbstractNew results in matrix algebra applied to the fundamental bordered matrix of linear estimatio...
In this article we consider the partitioned linear model M12={y, X1β1+X2β2, V} and the corresponding...
AbstractPuntanen et al. [J. Statist. Plann. Inference 88 (2000) 173] provided two matrix-based proof...
In this article we consider the partitioned linear model M12={y, X1β1+X2β2, V} and the corresponding...
In this article we consider the partitioned fixed linear model F : y = X1β1 + X2β2 + ε" and the corr...
AbstractIn this paper we consider a partitioned linear model (Y, X1β1 + X2β2, σ2Ω) where Ω is positi...
Necessary and sufficient conditions for the equality of ordinary least squares and generalized least...