On the simultaneous effects of model misspecification and errors in variables

DOI10.2307/3316148zbMath1016.62083OpenAlexW2137873676MaRDI QIDQ4801847

Paul Gustafson

Publication date: 20 August 2003

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/7bd6b1d808db3cefecbd65c2a286543dadfb90cd

zbMATH Keywords

biasmeasurement errorerrors in variablesmissclassificationfinite sample decomposition

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05)

Related Items

On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables, On the simultaneous effects of model misspecification and errors in variables, Comparing the Effects of Continuous and Discrete Covariate Mismeasurement, with Emphasis on the Dichotomization of Mismeasured Predictors

Cites Work

• Comparing the Effects of Continuous and Discrete Covariate Mismeasurement, with Emphasis on the Dichotomization of Mismeasured Predictors
• Consequences and Detection of Misspecified Nonlinear Regression Models
• Bayesian Smoothing and Regression Splines for Measurement Error Problems
• On the simultaneous effects of model misspecification and errors in variables
• Maximum Likelihood Estimation of Misspecified Models
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