A Robust Alternative Based on Ranks to Least Squares in Analyzing Linear Models

DOI10.2307/1267697zbMath0369.62052OpenAlexW4231519668MaRDI QIDQ4148675

Joseph W. McKean, Thomas P. Hettmansperger

Publication date: 1977

Full work available at URL: https://doi.org/10.2307/1267697

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Nonparametric estimation (62G05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (9)

Aligned Rank Transform Techniques for Analysis of Variance and Multiple Comparisons ⋮ Efficient calculation of hodges-lehmann estimators of location ⋮ A class of optimization problems motivated by rank estimators in robust regression ⋮ Rank-based variable selection ⋮ Comparison of two types of confidence intervals based on Wilcoxon-type \(R\)-estimators ⋮ Aligned rank transform tests in linear models ⋮ Estimation in proportional hazard and log-linear models ⋮ The use and interpretation of rank-based residuals ⋮ Efficient sorting during repetitive statistical computations: Algorithms and an application

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