Admissible Estimation for Linear Combination of Fixed and Random Effects in General Mixed Linear Models
From MaRDI portal
Publication:3585310
DOI10.1080/03610920903009350zbMath1318.62023OpenAlexW2072867078MaRDI QIDQ3585310
Publication date: 19 August 2010
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920903009350
Related Items (3)
General ridge predictors in a mixed linear model ⋮ A note on admissibility of linear estimators in random models with a special structure ⋮ The Equalities of BLUPs for Linear Combinations Under Two General Linear Mixed Models
Cites Work
- Admissible linear estimators of an arbitrary vector of parametric functions in the general Gauss-Markov model
- A matrix inequality and admissibility of linear estimators with respect to the mean square error matrix criterion
- Linear sufficiency and admissibility in restricted linear models
- Extension of the Gauss-Markov theorem to include the estimation of random effects
- Estimation of parameters in a linear model
- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
- Mean squared error of empirical predictor.
- Characterizations of admissible linear estimators in the linear model
- Sufficient and admissible estimators in general multivariate linear model
- Estimation in Covariance Components Models
- Mean Squared Error of Estimation or Prediction Under a General Linear Model
- Best Linear Unbiased Estimation and Prediction under a Selection Model
- On Admissibility of Linear Estimators with Respect to the Mean Square Error Matrix Criterion Under the General Mixed Linear Model
- The Estimation of the Mean Squared Error of Small-Area Estimators
This page was built for publication: Admissible Estimation for Linear Combination of Fixed and Random Effects in General Mixed Linear Models
