A Prediction-Oriented Criterion for Choosing the Biasing Parameter in Liu Estimation
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Publication:5421543
DOI10.1080/03610920601126522zbMath1315.62063OpenAlexW2012971519MaRDI QIDQ5421543
M. Revan Özkale, Selahattin Kaçıranlar
Publication date: 24 October 2007
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920601126522
Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Applications of statistics in engineering and industry; control charts (62P30)
Related Items (9)
General linear estimators under the prediction error sum of squares criterion in a linear regression model ⋮ Improved ridge estimators in a linear regression model ⋮ Optimal generalized ridge estimator under the generalized cross-validation criterion in linear regression ⋮ Linearized Restricted Ridge Regression Estimator in Linear Regression ⋮ Linearized Ridge Regression Estimator in Linear Regression ⋮ New shrinkage-type estimators in a linear regression model when multicollinearity is severe ⋮ Adjustive Liu-Type Estimators in Linear Regression Models ⋮ Improved Liu estimator in a linear regression model ⋮ Predictive performance of linear regression models
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