Further research on the principal component two-parameter estimator in linear model
type: Item
instance of: scholarly article
title: Further research on the principal component two-parameter estimator in linear model
zbMATH Open document ID: 1341.62231
DOI: 10.1080/03610926.2013.833237
author: Hu Yang
author: Jiewu Huang
publication date: 2016-05-25T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 6584913
zbMATH Keywords: principal component two-parameter estimator
zbMATH Keywords: \(r\)-\(k\) estimator
zbMATH Keywords: \(r\)-\(d\) estimator
zbMATH Keywords: generalized Mahalanobis loss function
zbMATH Keywords: average loss criterion
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1080/03610926.2013.833237
OpenAlex ID: W2026461141
cites work: Combining two-parameter and principal component regression estimators
cites work: Q4225396
cites work: COMBINING THE LIU ESTIMATOR AND THE PRINCIPAL COMPONENT REGRESSION ESTIMATOR
cites work: Performance of Some New Ridge Regression Estimators
cites work: A new class of blased estimate in linear regression
cites work: Principal components regression estimator and a test for the restrictions
cites work: On the inadmssibelity of ridge estimator in a linear model
cites work: Superiority of ther–kClass Estimator Over Some Estimators In A Linear Model
cites work: On the restrictedr–kclass estimator and the restrictedr–dclass estimator in linear regression
cites work: A New Two-Parameter Estimator in Linear Regression
published in: Communications in Statistics. Theory and Methods
description: scientific article; zbMATH DE number 6584913