An explicit characterization of admissible linear estimators of fixed and random effects in balanced random models
DOI10.37190/0208-4147.40.1.7zbMath1450.62025OpenAlexW3035260847MaRDI QIDQ5122741
Stefan Zontek, Ewa Synówka-Bejenka
Publication date: 24 September 2020
Published in: Probability and Mathematical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.37190/0208-4147.40.1.7
linear estimationlinear predictionlocally best estimatoradmissibility among an affine setbalanced random models
Estimation in multivariate analysis (62H12) Point estimation (62F10) Analysis of variance and covariance (ANOVA) (62J10) Admissibility in statistical decision theory (62C15)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A complete class for linear estimation in a general linear model
- A characterization of admissible linear estimators of fixed and random effects in linear models
- A new derivation of BLUPs under random-effects model
- Best linear unbiased prediction for linear combinations in general mixed linear models
- On characterization of linear admissible estimators: An extension of a result due to C. R. Rao
- Admissible linear estimators in the general Gauss-Markov model
- On the structure of admissible linear estimators
- Admissibility in linear estimation
- Extension of the Gauss-Markov theorem to include the estimation of random effects
- Estimation of parameters in a linear model
- Admissible linear estimation in the general Gauss-Markov model with respect to an arbitrary quadratic risk function
- A derivation of BLUP -- best linear unbiased predictor
- On limits of uniquely best linear estimators
- Characterizations of admissible linear estimators in the linear model
- On admissibility of linear estimators in models with finitely generated parameter space
- Admissible linear estimation in singular linear models
- Best Linear Unbiased Estimation and Prediction under a Selection Model
- Best Linear Unbiased Prediction in the Generalized Linear Regression Model
- All Admissible Linear Estimates of the Mean Vector
This page was built for publication: An explicit characterization of admissible linear estimators of fixed and random effects in balanced random models
