On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model

We study Kendall's tau and Spearman's rho concordance measures for discrete variables. We mainly provide their best bounds using positive dependence properties. These bounds are difficult to write down explicitly in general. Here, we give the explicit formula of the best bounds in a partic...

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Main Authors: Taoufik Bouezmarni, Mhamed Mesfioui, Abdelouahid Tajar
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2009/895742
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author Taoufik Bouezmarni
Mhamed Mesfioui
Abdelouahid Tajar
author_facet Taoufik Bouezmarni
Mhamed Mesfioui
Abdelouahid Tajar
author_sort Taoufik Bouezmarni
collection DOAJ
description We study Kendall's tau and Spearman's rho concordance measures for discrete variables. We mainly provide their best bounds using positive dependence properties. These bounds are difficult to write down explicitly in general. Here, we give the explicit formula of the best bounds in a particular Fréchet space in order to understand the behavior of the ranges of these measures. Also, based on the empirical copula which is viewed as a discrete distribution, we propose a new estimator of the copula function. Finally, we give useful dependence properties of the bivariate Poisson distribution and show the relationship between parameters of the Poisson distribution and both tau and rho.
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institution Kabale University
issn 1687-952X
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publisher Wiley
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series Journal of Probability and Statistics
spelling doaj-art-a4a9601459ff4cb5b78ea6559dedbe3f2025-02-03T01:01:57ZengWileyJournal of Probability and Statistics1687-952X1687-95382009-01-01200910.1155/2009/895742895742On Concordance Measures for Discrete Data and Dependence Properties of Poisson ModelTaoufik Bouezmarni0Mhamed Mesfioui1Abdelouahid Tajar2Department of Economics, McGill University, Leacock Building, 855 Sherbrooke Street West, C.P. 6128, succursale Centre-ville Montreal, QC, H3A 2T7, CanadaDépartement de Mathématiques et d'Informatique, Universitédu Québec à Trois-Rivières, Pavillon Ringuet, local 3060, C.P. 500, Trois-Rivières, QC, G9A 5H7, CanadaARC Epidemiology Unit, The University of Manchester, Oxford Road, Manchester M13 9PT, UKWe study Kendall's tau and Spearman's rho concordance measures for discrete variables. We mainly provide their best bounds using positive dependence properties. These bounds are difficult to write down explicitly in general. Here, we give the explicit formula of the best bounds in a particular Fréchet space in order to understand the behavior of the ranges of these measures. Also, based on the empirical copula which is viewed as a discrete distribution, we propose a new estimator of the copula function. Finally, we give useful dependence properties of the bivariate Poisson distribution and show the relationship between parameters of the Poisson distribution and both tau and rho.http://dx.doi.org/10.1155/2009/895742
spellingShingle Taoufik Bouezmarni
Mhamed Mesfioui
Abdelouahid Tajar
On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model
Journal of Probability and Statistics
title On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model
title_full On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model
title_fullStr On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model
title_full_unstemmed On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model
title_short On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model
title_sort on concordance measures for discrete data and dependence properties of poisson model
url http://dx.doi.org/10.1155/2009/895742
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AT mhamedmesfioui onconcordancemeasuresfordiscretedataanddependencepropertiesofpoissonmodel
AT abdelouahidtajar onconcordancemeasuresfordiscretedataanddependencepropertiesofpoissonmodel