A Further Study of Predictions in Linear Mixed Models
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Publication:5172791
DOI10.1080/03610926.2012.725497zbMath1309.62118OpenAlexW2006837711MaRDI QIDQ5172791
Publication date: 5 February 2015
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2012.725497
linear mixed modelmixed predictorbest linear unbiased predictormean square error matrixbiased predictor
Related Items (15)
Gilmour's approach to mixed and stochastic restricted ridge predictions in linear mixed models ⋮ Kernel Liu prediction approach in partially linear mixed measurement error models ⋮ Estimation of parameters in linear mixed measurement error models with stochastic linear restrictions ⋮ The weighted ridge estimation for linear mixed models with measurement error under stochastic linear mixed restrictions ⋮ The new mixed ridge estimator in a linear mixed model with measurement error under stochastic linear mixed restrictions ⋮ Stochastic restricted Liu predictors in linear mixed models ⋮ Stochastic restricted Liu estimator in linear mixed measurement error models ⋮ A further prediction method in linear mixed models: Liu prediction ⋮ Adaptation of the jackknifed ridge methods to the linear mixed models ⋮ Principal components regression and \(r-k\) class predictions in linear mixed models ⋮ An evaluation of ridge estimator in linear mixed models: an example from kidney failure data ⋮ The \(\mathrm{r}\)-\(\mathrm{d}\) class predictions in linear mixed models ⋮ Improving prediction by means of a two parameter approach in linear mixed models ⋮ Improvement of mixed predictors in linear mixed models ⋮ Ridge estimation in linear mixed measurement error models with stochastic linear mixed restrictions
Cites Work
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- An alternative stochastic restricted Liu estimator in linear regression
- Linear and generalized linear mixed models and their applications.
- Best linear unbiased prediction for linear combinations in general mixed linear models
- An efficient computing strategy for prediction in mixed linear models
- A stochastic restricted ridge regression estimator
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- On the performance of biased estimators in the linear regression model with correlated or heteroscedastic errors
- Best Linear Unbiased Estimation and Prediction under a Selection Model
- A new class of blased estimate in linear regression
- Prediction in linear mixed models
- General ridge predictors in a mixed linear model
- A new ridge-type estimator in stochastic restricted linear regression
- Ridge Estimation to the Restricted Linear Model
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