Admissibility in linear estimation

From MaRDI portal
Publication:1164350

DOI10.1214/aos/1176345707zbMath0485.62070OpenAlexW2000653390MaRDI QIDQ1164350

Lynn Roy La Motte

Publication date: 1982

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176345707




Related Items (43)

On geometry of the set of admissible invariant quadratic estimators in balanced two variance components modelA characterization of the multivariate normal distribution and some remarks on linear estimatorsScalar multiples of admissible linear estimatorsOn characterization of linear admissible estimators: An extension of a result due to C. R. RaoOn limits of uniquely best linear estimatorsAll admissible linear estimators of the regression parameter vector in the case of an arbitrary parameter subsetAdmissible linear estimators in the general Gauss-Markov modelA test of the mean square error criterion for linear admissible estimatorsThe fundamental aspects of the admissibility in the quadratic approximation of linear mappingsA sufficient condition for admissibility in linear estimationOn the structure of admissible linear estimatorsImproved estimation of variance components in mixed modelsA note on admissibility of linear estimators in random models with a special structureAdmissibility in general Gauss–Markov model with respect to an ellipsoidal constraint under weighted balanced lossImproved estimators for simultaneous estimation of variance componentsAdmissibility of linear estimators for the stochastic regression coefficient in a general Gauss-Markoff model under a balanced loss functionAdmissibility of linear estimators with respect to inequality constraints under some loss functionsAdmissible linear estimators in the general Gauss-Markov model under generalized extended balanced loss functionAn explicit characterization of admissible linear estimators of fixed and random effects in balanced random modelsAdmissible prediction in superpopulation models with random regression coefficients under matrix loss functionCharacterization of admissible linear estimators in the growth curve model with respect to inequality constraintsAdmissible linear estimators in mixed linear modelsOn admissible invariant estimators of variance components which dominate unbiased invariant estimatorsOn admissible estimation for parametric functions in linear modelsAdmissibility of linear estimators with respect to inequality constraints under matrix loss functionStrictly positive estimators for variance componentsAdmissibility in general linear model with respect to an inequality constraint under balanced lossAll admissible linear estimators of a regression coefficient under a balanced loss functionAdmissible Linear Estimators with Respect to Inequality ConstraintsAdmissible linear estimators of the multivariate normal mean without extra informationAdmissibilities of matrix linear estimators multivariate linear modelsA complete class for linear estimation in a general linear modelA characterization of admissible linear estimators of fixed and random effects in linear modelsMean square error matrix improvements and admissibility of linear estimatorsCharacterization of admissible linear estimators in the general growth curve model with respect to an incomplete ellipsoidal restrictionAdmissible estimators in the general multivariate linear model with respect to inequality restricted parameter setUnnamed ItemBayes, Admissible, and Minimax Linear Estimators in Linear Models with Restricted Parameter SpaceCharacterization of Admissible Linear Estimators in Multivariate Linear Model with Respect to Inequality Constraints under Matrix Loss FunctionAdmissible linear estimators in linear models with respect to inequality constraintsAdmissible linear estimation in singular linear models with respect to a restricted parameter setOn admissibility in various classes of quadratic estimatorsCharacterizations of admissible linear estimators in restricted linear models




This page was built for publication: Admissibility in linear estimation