Weighting Method for a Linear Mixed Model
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Publication:5190596
DOI10.1080/03610920802677216zbMath1183.62038OpenAlexW2103238958MaRDI QIDQ5190596
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
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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