Asymptotic properties of estimators in nonlinear functional errors-in-variables with dependent error terms

DOI10.1007/BF02432359zbMath0919.62062OpenAlexW2754387391MaRDI QIDQ1286604

István Fazekas, Alexander G. Kukush

Publication date: 2 May 1999

Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02432359

zbMATH Keywords

consistencyleast-squares estimatorfunctional errors-in-variables

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) General nonlinear regression (62J02)

Related Items (3)

Asymptotic properties of LS estimator in nonlinear functional EV models ⋮ Asymptotic properties of an estimator in nonlinear functional errors-in-variables models with dependent error terms ⋮ New \(M\)-estimators in semi-parametric regression with errors in variables

Cites Work

• The rate of convergence of the least squares estimator in a non-linear regression model with dependent errors
• The limiting distribution of least squares in an errors-in-variables regression model
• Asymptotic properties of an estimator in nonlinear functional errors-in-variables models with dependent error terms
• On the measurability and consistency of minimum contrast estimates
• Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models
• Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models
• An Asymptotic Expansion for the Distribution of the Least Squares Estimator of the Non-Linear Regression Parameter
• Estimation of Linear and Nonlinear Errors-in-Variables Models Using Validation Data
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