Improvement of estimators in a linear regression problem with random errors in coefficients
type: Item
instance of: scholarly article
title: Improvement of estimators in a linear regression problem with random errors in coefficients
zbMATH Open document ID: 1213.62116
DOI: 10.1134/S0037446606010125
published in: Siberian Mathematical Journal
publication date: 2011-05-19T00:00:00Z
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5897323
zbMATH Keywords: errors in independent variables
zbMATH Keywords: dependence of variance parameters
zbMATH Keywords: two-step estimation
zbMATH Keywords: asymptotically normal estimator
author: A. I. Sakhanenko
author: Yuliana Yu. Linke
MaRDI profile type: Publication
cites work: Q5391557
cites work: Asymptotically optimal estimation in a linear regression problem with random errors in coefficients
cites work: Q3545593
cites work: Q5437095
cites work: Q3993152
cites work: Q4125602
cites work: Q4940288
cites work: Bias in Slope Estimates for the Linear Errors in Variables Model by the Variance Ratio Method
cites work: Q5480580
cites work: Bayesian Analysis of Errors-in-Variables Regression Models
cites work: The limiting distribution of least squares in an errors-in-variables regression model
cites work: Use and Abuse of Variance Models in Regression
cites work: Regression Analysis when the Variance of the Dependent Variable is Proportional to the Square of its Expectation
cites work: Least Squares Estimation when the Covariance Matrix and Parameter Vector are Functionally Related
cites work: Robust estimation in heteroscedastic linear models
cites work: Applied regression analysis bibliography update 1994-97
cites work: Applied regression analysis bibliography update
cites work: APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001
cites work: Q5624436
cites work: Q3838007
description: scientific article; zbMATH DE number 5897323