On the restricted almost unbiased two-parameter estimator in linear regression model

DOI10.1080/03610926.2015.1026991zbMath1360.62381OpenAlexW2550216753MaRDI QIDQ2979948

Hua Huang, Jibo Wu, Wende Yi

Publication date: 27 April 2017

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

Full work available at URL: https://doi.org/10.1080/03610926.2015.1026991

zbMATH Keywords

mean-squared errorlinear regression modelrestricted two-parameter ridge estimator

Mathematics Subject Classification ID

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

Related Items (3)

Two-parameter estimator for the inverse Gaussian regression model ⋮ Principal component ridge type estimator for the inverse Gaussian regression model ⋮ Defining a two-parameter estimator: a mathematical programming evidence

Cites Work

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• Using Liu-Type Estimator to Combat Collinearity
• Efficiency of an almost unbiased two-parameter estimator in linear regression model
• A new ridge-type estimator in stochastic restricted linear regression
• The Restricted and Unrestricted Two-Parameter Estimators

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