Influence functions for rank-based procedures in the linear model

DOI10.1080/10485259508832653zbMath0857.62073OpenAlexW2064479702MaRDI QIDQ3837413

Lee D. Witt, Joshua D. Naranjo, Joseph W. McKean

Publication date: 8 December 1996

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485259508832653

zbMATH Keywords

asymptotic distributiondispersionasymptotic variancecontaminationinfluence functionstest statisticrank-based methodsWilcoxon scoresdrop testscores rank estimate

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Diagnostics, and linear inference and regression (62J20)

Related Items (2)

A new class of score generating functions for regression models ⋮ Diagnostics for comparing robust and least squares fits

Cites Work

• Rank tests of sub-hypotheses in the general linear regression
• Robust measures of association in the correlation model
• A weighted dispersion function for estimation in linear models
• A Geometric Interpretation of Inferences Based on Ranks in the Linear Model
• Bounded-Influence Rank Regression: A One-Step Estimator Based on Wilcoxon Scores
• Asymptotic normality ofr-estimates in the linear model
• Tests of hypotheses based on ranks in the general linear model
• Bounded‐influence rank estimation in the linear model
• Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
• Nonparametric Estimate of Regression Coefficients
• Unnamed Item
• Unnamed Item

This page was built for publication: Influence functions for rank-based procedures in the linear model