Bayes, admissible, and minimax linear estimators in linear models with restricted parameter space / Norbert Gaffke ; Berthold Heiligers. - In: Statistics. 20. 1989. S. 487-50
This papThis paper studies minimaxity of estimators of a set of linear combinations of location para...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
This paper studies decision theoretic properties of benchmarked estimators which are of some importa...
Linear Bayes and minimax estimation in linear models with partially restricted parameter space. - In...
The estimation of a linear combination of several restricted location parameters is addressed from a...
The estimation of a linear combination of several restricted location parameters is addressed from a...
Linear minimax estimation and related Bayes-L-optimal design / N. Gaffke ; R. Mathar. - In: Symposiu...
Linear minimax estimation and related Bayes-L-optimal design / N. Gaffke ; R. Mathar. - In: Symposiu...
The first lecture in this series is devoted to a survey of contributions during the last five years ...
The linearly sufficient and admissible linear estimators with bounded mean squared error function in...
This paper is concerned with estimation of the restricted parameters in location and/or scale famili...
This papThis paper studies minimaxity of estimators of a set of linear combinations of location para...
Summary: Bayes estimates are derived in multivariate linear models with unknown distribution. The pr...
In their paper on group-Bayes estimation of the exponential mean, van Eeden and Zidek (1994, Test 3,...
This paper is concerned with estimation of the restricted parameters in location and/or scale famili...
This papThis paper studies minimaxity of estimators of a set of linear combinations of location para...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
This paper studies decision theoretic properties of benchmarked estimators which are of some importa...
Linear Bayes and minimax estimation in linear models with partially restricted parameter space. - In...
The estimation of a linear combination of several restricted location parameters is addressed from a...
The estimation of a linear combination of several restricted location parameters is addressed from a...
Linear minimax estimation and related Bayes-L-optimal design / N. Gaffke ; R. Mathar. - In: Symposiu...
Linear minimax estimation and related Bayes-L-optimal design / N. Gaffke ; R. Mathar. - In: Symposiu...
The first lecture in this series is devoted to a survey of contributions during the last five years ...
The linearly sufficient and admissible linear estimators with bounded mean squared error function in...
This paper is concerned with estimation of the restricted parameters in location and/or scale famili...
This papThis paper studies minimaxity of estimators of a set of linear combinations of location para...
Summary: Bayes estimates are derived in multivariate linear models with unknown distribution. The pr...
In their paper on group-Bayes estimation of the exponential mean, van Eeden and Zidek (1994, Test 3,...
This paper is concerned with estimation of the restricted parameters in location and/or scale famili...
This papThis paper studies minimaxity of estimators of a set of linear combinations of location para...
SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...
This paper studies decision theoretic properties of benchmarked estimators which are of some importa...