Rank-based inference for linear models: Asymmetric errors

DOI10.1016/0167-7152(89)90001-1zbMath0677.62062OpenAlexW1988194820MaRDI QIDQ1123516

Thomas P. Hettmansperger, James C. Aubuchon

Publication date: 1989

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(89)90001-1

zbMATH Keywords

density estimationgeneral linear modelsasymmetric errorsestimate of the interceptRobust, rank-based inference proceduresscaling functional

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Analysis of variance and covariance (ANOVA) (62J10) Nonparametric inference (62G99)

Related Items (8)

Rank-based inference for the single-index model ⋮ A comparison of confidence intervals fromR-estimators in regression ⋮ Comparison of two types of confidence intervals based on Wilcoxon-type \(R\)-estimators ⋮ Bayesian \(R\)-estimates in two-sample location models ⋮ A general method for estimating standard errors ⋮ Tests of linear hypotheses based on regression rank scores ⋮ The use and interpretation of rank-based residuals ⋮ On the estimation of integral \(f\)-squared

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A note on the estimation of the integral of \(f^ 2(x)\)
• Rank based robust analysis of linear models. I: Exposition and review. With comments and a rejoinder by the author
• Asymptotic normality ofr-estimates in the linear model
• On estimation of a class of efficacy-related parameters
• Tests of hypotheses based on ranks in the general linear model
• On asymptotic properties of an estimate of a functional of a probability density
• Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
• On the rate of convergence of an estimate of a functional of a probability density
• Asymptotic Linearity of a Rank Statistic in Regression Parameter
• Nonparametric Estimate of Regression Coefficients
• Linearized Rank Estimates and Signed-Rank Estimates for the General Linear Hypothesis

This page was built for publication: Rank-based inference for linear models: Asymmetric errors