The efficiency of adjusted least squares in the linear functional relationship.

DOI10.1016/S0047-259X(03)00048-4zbMath1035.62068OpenAlexW2048120604MaRDI QIDQ1426346

Erich Otto Maschke, Alexander G. Kukush

Publication date: 14 March 2004

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0047-259x(03)00048-4

zbMATH Keywords

Gaussian errorsAsymptotic efficiencyAdjusted least-squares estimatorHájek boundLinear functional errors-in-variables model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (4)

Consistency of an adjusted least-squares estimator in a vector linear model with measurement errors ⋮ Convergence of estimators in the polynomial measurement error model ⋮ Statistical analysis of curve fitting methods in errors-in-variables models ⋮ A comparative study for two newly developed estimators for the slope in the functional EIV linear model

Cites Work

• An asymptotic minimax risk bound for estimation of a linear functional relationship
• Polynomial Regression With Errors in the Variables
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