All admissible linear estimators of the regression parameter vector in the case of an arbitrary parameter subset
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Publication:1907672
DOI10.1016/0378-3758(95)00016-3zbMath0838.62005OpenAlexW2018159632MaRDI QIDQ1907672
Publication date: 13 February 1996
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(95)00016-3
linear modelcharacterization theoremgeneralized quadratic riskset of all admissible linear estimators
Related Items (4)
Admissible linear estimators in the general Gauss-Markov model under generalized extended balanced loss function ⋮ Comparison of linear restricted models with respect to the validity of admissible and linearly sufficient estimators ⋮ Characterization of admissible linear estimators in the general growth curve model with respect to an incomplete ellipsoidal restriction ⋮ Characterization of Admissible Linear Estimators in Multivariate Linear Model with Respect to Inequality Constraints under Matrix Loss Function
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- Characterizations of admissible linear estimators in restricted linear models
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- Admissible linear estimators in the general Gauss-Markov model
- Admissibility in linear estimation
- Estimation of parameters in a linear model
- Multivariate calculation. Use of the continuous groups
- Admissibility of linear estimators with respect to restricted parameter sets
- A note on estimating the common mean of k normal distributions and the stein problem
- Bayes, Admissible, and Minimax Linear Estimators in Linear Models with Restricted Parameter Space
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