Superiority of the r-k class estimator over some estimators in a misspecified linear model

DOI10.1080/03610926.2013.863934zbMath1341.62228OpenAlexW2259617445MaRDI QIDQ2807777

Jibo Wu

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.863934

zbMATH Keywords

multicollinearity\(r\)-\(k\) class estimatormisspecified linear modelMahalanobis loss function

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)

Related Items (2)

Stochastic restricted biased estimators in misspecified regression model with incomplete prior information ⋮ Performance of the principal component two-parameter estimator in misspecified linear regression model

Cites Work

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• Mixed regression estimator under misspecification
• \(r-k\) class estimation in regression model with concomitant variables
• Mixed regression estimator under inclusion of some superfluous variables
• On the performance of two parameter ridge estimator under the mean square error criterion
• Comparisons among some estimators in misspecified linear models with multicollinearity
• Superiority of ther–kClass Estimator Over Some Estimators In A Linear Model
• On the inadmssibelity of ridge estimator in a linear model
• A New Two-Parameter Estimator in Linear Regression
• A new class of blased estimate in linear regression

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