Nonparametric measures of dependence for biometric data studies
type: Item
instance of: scholarly article
title: Nonparametric measures of dependence for biometric data studies
zbMATH Open document ID: 1062.62089
author: Anna Osmoukhina
author: Andrew L. Rukhin
published in: Journal of Statistical Planning and Inference
publication date: 2005-05-12T00:00:00Z
Mathematics Subject Classification ID: 62G99
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 62H20
Mathematics Subject Classification ID: 62E20
zbMATH DE Number: 2167786
zbMATH Keywords: Asymptotic normality
zbMATH Keywords: Biometric algorithms
zbMATH Keywords: Concomitant
zbMATH Keywords: Copula
zbMATH Keywords: Correlation coefficient
zbMATH Keywords: Identification problem
zbMATH Keywords: Measures of association
zbMATH Keywords: Scan statistic
zbMATH Keywords: Tail dependence
describes a project that uses: FERET
MaRDI profile type: Publication
full work available at URL: j.jspi.2003.12.005
OpenAlex ID: W1982679565
cites work: On the balanced incomplete block design for rankings
cites work: Spearman's ρ is larger than kendall's τ for positively dependent random variables
cites work: Metric methods for analyzing partially ranked data
cites work: Distribution and expected value of the rank of a concomitant of an order statistics
cites work: Q3855979
cites work: Q3995195
cites work: Q4153936
cites work: Weak convergence of empirical copula processes
cites work: A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
cites work: Q4943603
cites work: Q4865048
cites work: An introduction to copulas. Properties and applications
cites work: Asymptotic normality of nonparametric tests for independence
cites work: Weak convergence and empirical processes. With applications to statistics
cites work: General distribution theory of the concomitants of order statistics
DOI: 10.1016/J.JSPI.2003.12.005
description: scientific article; zbMATH DE number 2167786