Quasi score is more efficient than corrected score in a polynomial measurement error model

DOI10.1007/s00184-006-0076-5zbMath1433.62083OpenAlexW2013617417MaRDI QIDQ745392

Hans Schneeweiss, Sergiy Shklyar, Alexander G. Kukush

Publication date: 14 October 2015

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://epub.ub.uni-muenchen.de/1814/1/paper_445.pdf

zbMATH Keywords

efficiencymeasurement errorsfunctional methodspolynomial modelstructural methodscorrected scorequasi score

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) General nonlinear regression (62J02)

Related Items (2)

Some recent advances in measurement error models and methods ⋮ Optimality of the quasi-score estimator in a mean-variance model with applications to measurement error models

Cites Work

• Relative efficiency of three estimators in a polynomial regression with measurement errors
• A comparison of asymptotic covariance matrices of three consistent estimators in the Poisson regression model with measurement errors
• Bias of the structural quasi-score estimator of a measurement error model under misspecification of the regressor distribution
• Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models
• Polynomial Regression With Errors in the Variables
• Covariate Measurement Error in Quadratic Regression
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