Efficient and adaptive rank-based fits for linear models with skew-normal errors

DOI10.1186/s40488-014-0018-0zbMath1357.62244OpenAlexW2139269073WikidataQ59400550 ScholiaQ59400550MaRDI QIDQ499770

Joseph W. McKean, John D. Kloke

Publication date: 6 October 2015

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40488-014-0018-0

zbMATH Keywords

robustMonte Carlolinear modelsnonparametricsregression rank scoresWilcoxon procedures

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Nonparametric estimation (62G05)

Related Items

Rank-Based Analysis of Linear Models and Beyond: A Review

Uses Software

• R
• Rfit
• sn

Cites Work

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• Weighted Wilcoxon Estimators in Nonlinear Regression
• A Two-Sample Adaptive Distribution-Free Test
• Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
• High-Breakdown Rank Regression
• Rank-Based Estimation and Associated Inferences for Linear Models With Cluster Correlated Errors
• Robust Nonparametric Statistical Methods
• Nonparametric Estimate of Regression Coefficients