Some maximum-indifference estimators for the slope of a univariate linear model

DOI10.1080/10485252.2016.1163356zbMath1341.62209OpenAlexW2330924500MaRDI QIDQ2811287

Donato Michele Cifarelli, Claudio Giovanni Borroni

Publication date: 10 June 2016

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

Full work available at URL: https://doi.org/10.1080/10485252.2016.1163356

zbMATH Keywords

association measureslinear regressionTheil-Sen estimator

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (1)

Mutual association measures

Cites Work

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• A test of concordance based on Gini's mean difference
• Asymptotic normality of a class of nonlinear rank tests for independence
• On the asymptotic distribution of a general measure of monotone dependence
• A new rank correlation measure
• Multivariate spatial U-quantiles: A Bahadur-Kiefer representation, a Theil-Sen estimator for multiple regression, and a robust dispersion estimator
• Consistency and asymptotic distribution of the Theil-Sen estimator
• Nonparametric estimation for quadratic regression
• Spearman's footrule and Gini's gamma: a review with complements
• Robust regression using repeated medians
• Regression Quantiles
• A Note on the Theil-Sen Regression Estimator When the Regressor Is Random and the Error Term Is Heteroscedastic
• Unbiasedness of the Theil–Sen estimator

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