A new stochastic restricted Liu-type estimator in linear regression model

DOI10.1080/03610918.2017.1373813OpenAlexW2753583782MaRDI QIDQ5086137

Nilgün Yildiz

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2017.1373813

zbMATH Keywords

mean squared error matrixordinary mixed estimatorLiu-type estimatorsstochastic restricted Liu-type estimator

Mathematics Subject Classification ID

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

Related Items (2)

A new stochastic mixed Liu estimator in linear regression model ⋮ Diagnostic measures for the restricted Liu estimator in linear measurement error models

Cites Work

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• Nonnegative and positive definiteness of matrices modified by two matrices of rank one
• Improvement of the Liu estimator in linear regression model
• Linear models. Least squares and alternatives
• Linear models and generalizations. Least squares and alternatives. With contributions by Michael Schomaker.
• Mean squared error matrix comparisons between biased estimators — An overview of recent results
• A new class of blased estimate in linear regression
• Using Liu-Type Estimator to Combat Collinearity
• On the Use of Incomplete Prior Information in Regression Analysis
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• A Note on Regression when There is Extraneous Information about One of the Coefficients

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