Adaptation of the jackknifed ridge methods to the linear mixed models

DOI10.1080/00949655.2019.1669037OpenAlexW2976185913MaRDI QIDQ5107530

M. Revan Özkale, Özge Kuran

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1669037

zbMATH Keywords

linear mixed modelsmulticollinearityHenderson's predictorsjackknifed ridge predictorsridge predictors

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Improving prediction by means of a two parameter approach in linear mixed models

Cites Work

• Random-Effects Models for Longitudinal Data
• Applications of the jackknife procedure in ridge regression
• A jackknifed ridge estimator in the linear regression model with heteroscedastic or correlated errors
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Principal components regression and \(r-k\) class predictions in linear mixed models
• Principal component analysis.
• A unified jackknife theory for empirical best prediction with \(M\)-estimation
• Mean squared error of empirical predictor.
• A first-order approximated jackknifed ridge estimator in binary logistic regression
• A Small Area Predictor under Area-Level Linear Mixed Models with Restrictions
• A jackknifed difference-based ridge estimator in the partial linear model with correlated errors
• On the almost unbiased ridge regression estimator
• On small sample properties of the almost unbiased generalized ridge estimator
• Diagnostics for Mixed-Model Analysis of Variance
• A Monte Carlo Evaluation of Some Ridge-Type Estimators
• A simulation study of ridge and other regression estimators
• Jackknifing in Unbalanced Situations
• Bayes Factors
• A new modified Jackknifed estimator for the Poisson regression model
• An evaluation of ridge estimator in linear mixed models: an example from kidney failure data
• A Further Study of Predictions in Linear Mixed Models
• Jackknifing the Ridge Regression Estimator: A Revisit
• General ridge predictors in a mixed linear model
• The Estimation of Environmental and Genetic Trends from Records Subject to Culling
• Jackknifed Liu estimator in linear regression models
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
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