Weighting Method for a Linear Mixed Model

DOI10.1080/03610920802677216zbMath1183.62038OpenAlexW2103238958MaRDI QIDQ5190596

Tianyue Zhou

Publication date: 18 March 2010

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

Full work available at URL: https://doi.org/10.1080/03610920802677216

zbMATH Keywords

random effectsmaximum likelihoodlinear mixed modelsweighted likelihood

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Asymptotic properties of parametric tests (62F05)

Cites Work

• Random-Effects Models for Longitudinal Data
• Bayesian analysis of hierarchical linear mixed modeling using the multivariate \(t\) distribution
• Efficiency versus robustness: The case for minimum Hellinger distance and related methods
• A general Bahadur representation of \(M\)-estimators and its application to linear regression with nonstochastic designs
• Weighted likelihood estimating equations: The discrete case with applications to logistic regression
• Minimum disparity estimation for continuous models: Efficiency, distributions and robustness
• Robust statistical inference: weighted likelihoods or usual m-estimation?
• Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
• Robust Estimation: A Weighted Maximum Likelihood Approach
• Robust and efficient estimation under data grouping
• Robust Estimating Functions and Bias Correction for Longitudinal Data Analysis
• High-Breakdown Inference for Mixed Linear Models
• Handbook of econometrics. Vol. 4

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