Large-Sample Theory for the Bergsma-Dassios Sign Covariance
type: Item
instance of: scholarly article
publication date: 2016-02-13T00:00:00Z
arXiv ID: 1602.04387
arXiv classification: math.ST
arXiv classification: stat.TH
author: Luca Weihs
author: Mathias Drton
author: Preetam Nandy
DOI: 10.1214/16-EJS1166
DOI: 10.48550/ARXIV.1602.04387
MaRDI profile type: Publication
title: Large-sample theory for the Bergsma-Dassios sign covariance
zbMATH Open document ID: 1346.62094
published in: Electronic Journal of Statistics
full work available at URL: https://arxiv.org/abs/1602.04387
full work available at URL: https://projecteuclid.org/euclid.ejs/1472498028
Mathematics Subject Classification ID: 62G10
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G30
zbMATH DE Number: 6624517
zbMATH Keywords: test of independence
zbMATH Keywords: asymptotics
zbMATH Keywords: U-statistics
zbMATH Keywords: nonparametric correlation
zbMATH Keywords: degeneracy
zbMATH Keywords: Hoeffding's D
Wikidata QID: Q57566379
describes a project that uses: energy
describes a project that uses: TauStar
describes a project that uses: R
cites work: A consistent test of independence based on a sign covariance related to Kendall's tau
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cites work: Approximation Theorems of Mathematical Statistics
cites work: Measuring and testing dependence by correlation of distances
cites work: Asymptotic Statistics
cites work: Efficient computation of the Bergsma-Dassios sign covariance
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description: scientific article; zbMATH DE number 6624517
alternative label: Large-sample theory for the Bergsma-Dassios sign covariance