A further prediction method in linear mixed models: Liu prediction
From MaRDI portal
Publication:5083931
DOI10.1080/03610918.2018.1535071zbMath1489.62203OpenAlexW2907314085MaRDI QIDQ5083931
Publication date: 21 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2018.1535071
Related Items (4)
Kernel Liu prediction approach in partially linear mixed measurement error models ⋮ Stochastic restricted Liu predictors in linear mixed models ⋮ The \(\mathrm{r}\)-\(\mathrm{d}\) class predictions in linear mixed models ⋮ Improving prediction by means of a two parameter approach in linear mixed models
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimation of the mean of a multivariate normal distribution
- That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
- Predictive performance of linear regression models
- A Small Area Predictor under Area-Level Linear Mixed Models with Restrictions
- A Monte Carlo Evaluation of Some Ridge-Type Estimators
- Good ridge estimators based on prior information
- A new class of blased estimate in linear regression
- Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models
- Bayes Factors
- An evaluation of ridge estimator in linear mixed models: an example from kidney failure data
- A Further Study of Predictions in Linear Mixed Models
- General ridge predictors in a mixed linear model
- The Estimation of Environmental and Genetic Trends from Records Subject to Culling
- The Restricted and Unrestricted Two-Parameter Estimators
- Some Comments on C P
This page was built for publication: A further prediction method in linear mixed models: Liu prediction