Consider the Gauss-Markoff model (Y, Xβ, σ<SUP>2</SUP>V) in the usual notation (Rao, 1973a, p. 294). If V is singular, there exists a matrix N such that N'Y has zero covariance. The minimum variance unbiased estimator of an estimable parametric function p'β is obtained in the wider class of (non-linear) unbiased estimators of the form f(N'Y) + Y'g(N'Y) where f is a scalar and g is a vector function
Some recent work of the author on 'Unified Theory of Linear Estimation' is described. The general Ga...
This article completes and simplifies earlier results on the derivation of best linear, or affine, u...
Gauss–Markov model, Estimability of parametric functions, Unbiasedness of linear estimator, Natural ...
In this paper we obtain the complete class of representations and useful subclasses of MV-UB-LE and ...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...
summary:The aim of this paper is to characterize the Multivariate Gauss-Markoff model $(MGM)$ as in ...
It is known that if the Gauss-Markov model M = {Y,Xβ, σ<SUP>2</SUP>V} has the column space of the mo...
We consider a general Gauss-Markoff model (Y, Xβ, σ2V), where E(Y)=Xβ, D(Y)=σ2V. There may be defici...
We consider a general Gauss-Markoff model (Y, Xβ, σ2V), where E(Y)=Xβ, D(Y)=σ2V. There may be defici...
The first lecture in this series is devoted to a survey of contributions during the last five years ...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...
AbstractConsider the linear model Y = Xβ + ε, where Y is the response variable of order (n×1), X is ...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...
Some recent work of the author on 'Unified Theory of Linear Estimation' is described. The general Ga...
Some recent work of the author on 'Unified Theory of Linear Estimation' is described. The general Ga...
This article completes and simplifies earlier results on the derivation of best linear, or affine, u...
Gauss–Markov model, Estimability of parametric functions, Unbiasedness of linear estimator, Natural ...
In this paper we obtain the complete class of representations and useful subclasses of MV-UB-LE and ...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...
summary:The aim of this paper is to characterize the Multivariate Gauss-Markoff model $(MGM)$ as in ...
It is known that if the Gauss-Markov model M = {Y,Xβ, σ<SUP>2</SUP>V} has the column space of the mo...
We consider a general Gauss-Markoff model (Y, Xβ, σ2V), where E(Y)=Xβ, D(Y)=σ2V. There may be defici...
We consider a general Gauss-Markoff model (Y, Xβ, σ2V), where E(Y)=Xβ, D(Y)=σ2V. There may be defici...
The first lecture in this series is devoted to a survey of contributions during the last five years ...
AbstractIn the general Gauss-Markoff model (Y, Xβ, σ2V), when V is singular, there exist linear func...
AbstractConsider the linear model Y = Xβ + ε, where Y is the response variable of order (n×1), X is ...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...
Some recent work of the author on 'Unified Theory of Linear Estimation' is described. The general Ga...
Some recent work of the author on 'Unified Theory of Linear Estimation' is described. The general Ga...
This article completes and simplifies earlier results on the derivation of best linear, or affine, u...
Gauss–Markov model, Estimability of parametric functions, Unbiasedness of linear estimator, Natural ...
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