Large-sample comparisons of calibration procedures when both measurements are subject to error: the unreplicated case

DOI10.1080/03610928908830125zbMath0696.62289OpenAlexW2060034372MaRDI QIDQ3474073

Seunghoon Lee, Bong-Jin Yum

Publication date: 1989

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

Full work available at URL: https://doi.org/10.1080/03610928908830125

zbMATH Keywords

maximum likelihood estimationordinary least squares estimationerrors-in-variables modeldirect predictionfunctional relationshipinverse prediction

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Linear inference, regression (62J99)

Related Items (2)

Linear calibration in functional regression models ⋮ Large-sample comparisons of calibration procedures when both measurements are subject to error: the unreplicated case

Cites Work

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• Estimation in a multivariate errors in variables regression model: Large sample results
• Estimating structural and functional relationships
• The Fitting of Straight Lines When both Variables are Subject to Error
• Approximation Theorems of Mathematical Statistics
• Large-sample comparisons of calibration procedures when both measurements are subject to error: the unreplicated case
• An Analysis of the Linear-Calibration Controversy from the Perspective of Compound Estimation
• The Effect of Errors in the Independent Variables in Linear Regression

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