Some Exploratory Methods for Studying Curvature in Robust Regression

DOI<link itemprop=identifier href="https://doi.org/10.1002/1521-4036(200007)42:3<335::AID-BIMJ335>3.0.CO;2-6" /><335::AID-BIMJ335>3.0.CO;2-6 10.1002/1521-4036(200007)42:3<335::AID-BIMJ335>3.0.CO;2-6zbMath1064.62539OpenAlexW1973482206MaRDI QIDQ4500455

Rand R. Wilcox

Publication date: 2000

Full work available at URL: https://doi.org/10.1002/1521-4036(200007)42:3<335::aid-bimj335>3.0.co;2-6

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Robustness and adaptive procedures (parametric inference) (62F35) General nonlinear regression (62J02)

Cites Work

• Descriptive statistics for non-parametric models. III: Dispersion
• Reweighting approximate GM estimators: Asymptotics and residual-based graphics
• Nonparametric estimation of global functionals and a measure of the explanatory power of covariates in regression
• Robust estimates and tests for the one- and two-sample scale models
• Robust nonlinear regression analysis
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