Bounded Influence Estimation in the Mixed Linear Model

DOI10.2307/2291459zbMath1090.62545OpenAlexW4247889633MaRDI QIDQ4366052

A. M. Richardson

Publication date: 1997

Full work available at URL: https://doi.org/10.2307/2291459

zbMATH Keywords

Maximum likelihoodRobustnessHierarchical modelsComponents of varianceRestricted maximum likelihoodGeneralized \(M\) estimation

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35) Diagnostics, and linear inference and regression (62J20)

Related Items

\(M\)-type smoothing spline ANOVA for correlated data ⋮ A general skew-\(t\) mixed model that allows different degrees of freedom for random effects and error distributions ⋮ A robust version of the hurdle model ⋮ Robust-efficient fitting of mixed linear models: methodology and theory ⋮ Approximate bounded influence estimation for longitudinal data with outliers and measurement errors ⋮ Fast and robust estimators of variance components in the nested error model ⋮ Robust Regression for Clustered Data with Application to Binary Responses ⋮ Robust estimation in the logistic regression model ⋮ Robust Alternatives to the F‐Test in Mixed Linear Models Based on MM‐Estimates ⋮ Robust estimation and confidence interval in meta-regression models ⋮ Robust approximate Bayesian inference ⋮ ROBUST ESTIMATION OF SMALL-AREA MEANS AND QUANTILES ⋮ Spatial robust small area estimation ⋮ Applied regression analysis bibliography update 1994-97