Add to ORKGThe linearly sufficient and admissible linear estimators with bounded mean squared error function in linear models with parameter restrictions are identified as special general ridge estimators. This is based on a decomposition result for admissible estimators and on a the characterization of linearly sufficient and admissible estimators in unrestricted models given in MARKIEWICZ (1994) (orig.)Available from TIB Hannover: RO 7722(524) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEDEGerman
AbstractIn this paper, we study the characterization of admissible linear estimators of regression c...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...
Admissible and linearly sufficient estimators in linear model are identified as general ridge estima...
summary:It was recently shown that all estimators which are locally best in the relative interior of...
AbstractThis paper studies the admissibility of both homogeneous and inhomogeneous linear estimators...
AbstractIn this paper we investigate the admissibility of linear estimators in the multivariate line...
It is known that the linear estimation, both with or without unbiasedness, may be reduced to a stati...
AbstractDefined is a class of models which have the following property: If L′Y is an admissible esti...
Under the general mixed linear model, linear admissible estimators for linear functions of fixed and...
AbstractAdmissibility of linear estimators of a regression coefficient in linear models with and wit...
AbstractIn this paper it is demonstrated that a homogeneous linear estimator for the vector of param...
Graduation date: 1986We describe a general finite-dimensional inner product space setting for studyi...
This paper is devoted to the linear admissible estimate and admissible estimate in the class of homo...
Bayes, admissible, and minimax linear estimators in linear models with restricted parameter space / ...
AbstractIn this paper, we study the characterization of admissible linear estimators of regression c...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...
Admissible and linearly sufficient estimators in linear model are identified as general ridge estima...
summary:It was recently shown that all estimators which are locally best in the relative interior of...
AbstractThis paper studies the admissibility of both homogeneous and inhomogeneous linear estimators...
AbstractIn this paper we investigate the admissibility of linear estimators in the multivariate line...
It is known that the linear estimation, both with or without unbiasedness, may be reduced to a stati...
AbstractDefined is a class of models which have the following property: If L′Y is an admissible esti...
Under the general mixed linear model, linear admissible estimators for linear functions of fixed and...
AbstractAdmissibility of linear estimators of a regression coefficient in linear models with and wit...
AbstractIn this paper it is demonstrated that a homogeneous linear estimator for the vector of param...
Graduation date: 1986We describe a general finite-dimensional inner product space setting for studyi...
This paper is devoted to the linear admissible estimate and admissible estimate in the class of homo...
Bayes, admissible, and minimax linear estimators in linear models with restricted parameter space / ...
AbstractIn this paper, we study the characterization of admissible linear estimators of regression c...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, a...