Aligned rank tests for the linear model with heteroscedastic errors

DOI10.1016/0378-3758(93)90077-JzbMath0789.62034OpenAlexW1998472038MaRDI QIDQ689419

Willem Albers, Michael G. Akritas

Publication date: 5 December 1993

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(93)90077-j

zbMATH Keywords

parametric modelrank transformationPitman efficiencyheteroscedastic linear regression modelaligned rank testserror variancesranks of scaled residualstesting subhypotheses

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Linear regression; mixed models (62J05)

Related Items (3)

Nonparametric estimation in heteroskedastic regression ⋮ Rank tests in heteroscedastic linear model with nuisance parameters ⋮ Rank Tests under Uncertainty: Regression and Local Heteroscedasticity

Cites Work

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• Rank procedures for testing subhypotheses in linear regression
• An alternative derivation of aligned rank tests for regression
• Rank tests of sub-hypotheses in the general linear regression
• Estimation of the Distribution of Noise in an Autoregression Scheme
• Rank Methods for Combination of Independent Experiments in Analysis of Variance
• Robust analysis of variance based upon a likelihood ratio criterion
• One-Step Huber Estimates in the Linear Model
• On the Sign Test for Symmetry

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