A Semiparametric Estimation Approach for Linear Mixed Models

DOI10.1080/03610926.2011.601837zbMath1319.62140OpenAlexW2084121709MaRDI QIDQ2839061

Liqun Wang, Daniel H. Li

Publication date: 4 July 2013

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.601837

zbMATH Keywords

outliersrobustnessleast squares methodlinear mixed modelsmisspecificationredescending M-estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Cites Work

• Unnamed Item
• Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
• Random-Effects Models for Longitudinal Data
• Second-order nonlinear least squares estimation
• Robustness of the linear mixed model to misspecified error distribution
• The effect of misspecifying the random-effects distribution in linear mixed models for longitudinal data
• Regression Analysis when the Dependent Variable Is Truncated Normal
• Mixed Models
• A unified approach to estimation of nonlinear mixed effects and Berkson measurement error models
• Asymptotic Properties of Non-Linear Least Squares Estimators
• A Simplex Method for Function Minimization

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