Nonparametric estimation of the multivariate Spearman's footrule: a further discussion

Fuente: arXiv
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Main Authors: Pérez, Ana, Prieto-Alaiz, Mercedes, Chamizo, Fernando, Liebscher, Eckhard, Úbeda-Flores, Manuel
Format: Preprint
Published: 2025
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author Pérez, Ana
Prieto-Alaiz, Mercedes
Chamizo, Fernando
Liebscher, Eckhard
Úbeda-Flores, Manuel
author_facet Pérez, Ana
Prieto-Alaiz, Mercedes
Chamizo, Fernando
Liebscher, Eckhard
Úbeda-Flores, Manuel
contents In this paper, we propose two new estimators of the multivariate rank correlation coefficient Spearman's footrule which are based on two general estimators for Average Orthant Dependence measures. We compare the new proposals with a previous estimator existing in the literature and show that the three estimators are asymptotically equivalent, but, in small samples, one of the proposed estimators outperforms the others. We also analyse Pitman efficiency of these indices to test for multivariate independence as compared to multivariate versions of Kendall's tau and Spearman's rho.
format Preprint
id arxiv_https___arxiv_org_abs_2501_07665
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nonparametric estimation of the multivariate Spearman's footrule: a further discussion
Pérez, Ana
Prieto-Alaiz, Mercedes
Chamizo, Fernando
Liebscher, Eckhard
Úbeda-Flores, Manuel
Statistics Theory
Probability
In this paper, we propose two new estimators of the multivariate rank correlation coefficient Spearman's footrule which are based on two general estimators for Average Orthant Dependence measures. We compare the new proposals with a previous estimator existing in the literature and show that the three estimators are asymptotically equivalent, but, in small samples, one of the proposed estimators outperforms the others. We also analyse Pitman efficiency of these indices to test for multivariate independence as compared to multivariate versions of Kendall's tau and Spearman's rho.
title Nonparametric estimation of the multivariate Spearman's footrule: a further discussion
topic Statistics Theory
Probability
url https://arxiv.org/abs/2501.07665