On measuring the dependence of uncorrelated random variables
type: Item
instance of: scholarly article
title: On measuring the dependence of uncorrelated random variables
zbMATH Open document ID: 0856.60019
DOI: 10.1007/BF02362697
published in: Journal of Mathematical Sciences (New York)
publication date: 1996-07-07T00:00:00Z
review text: This paper shows how monotone dependence functions of quantile type can be used in determining the strength of dependence of uncorrelated random variables. Mixtures of random vectors having independent components are discussed in more detail.
Mathematics Subject Classification ID: 60E05
Mathematics Subject Classification ID: 60A10
zbMATH DE Number: 897826
zbMATH Keywords: correlation
zbMATH Keywords: dependence
author: Andrzej Krajka
author: Dominik Szynal
MaRDI profile type: Publication
cites work: Necessary and sufficient conditions for inequalities of Cramer-Rao type
cites work: General definition and sample counterparts of monotonic dependence functions of bivariate distributions
cites work: Monotonic dependence functions of bivariate distributions
cites work: Q4031269
cites work: On monotone dependence functions of the quantile type
full work available at URL: https://doi.org/10.1007/bf02362697
OpenAlex ID: W2074379112
description: scientific article; zbMATH DE number 897826