Robust estimation of covariance parameters in partial linear model for longitudinal data
From MaRDI portal
Publication:958813
DOI10.1016/j.jspi.2008.03.042zbMath1149.62034OpenAlexW2039087243MaRDI QIDQ958813
Guoyou Qin, Zhong-yi Zhu, Wing-Kam Fung
Publication date: 8 December 2008
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.03.042
robustnesslongitudinal datageneralized estimating equationsB-splinepartial linear modelscovariance parameters
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
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Cites Work
- Unnamed Item
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Additive regression and other nonparametric models
- Convergence rates for partially splined models
- Asymptotics of estimating equations under natural conditions.
- An alternative approach to the analysis of longitudinal data via generalized estimating equations
- Breakdown properties of location \(M\)-estimators
- Variances Are Not Always Nuisance Parameters
- Semiparametric Stochastic Mixed Models for Longitudinal Data
- Robust Restricted Maximum Likelihood in Mixed Linear Models
- Robust Estimation in Generalized Linear Mixed Models
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Extended Generalized Estimating Equations for Clustered Data
- Influence Diagnostics and Outlier Tests for Semiparametric Mixed Models
- Analysis of Serially Correlated Data Using Quasi-Least Squares
- Robust Estimating Functions and Bias Correction for Longitudinal Data Analysis
- Robust Analysis of Generalized Linear Mixed Models
- Unbiased Estimating Equations From Working Correlation Models for Irregularly Timed Repeated Measures
- Robust Estimation in Generalized Partial Linear Models for Clustered Data
- Partial Linear Regression Models for Clustered Data