Name: Strong measures of concordance and convergence in probability
Creator: SCARSINI, MARCO
Keywords: concordance, convergence, strong measure of concordance, probability, convergence in probability, 0211 other engineering and technologies, [SHS.ECO.ECO] Humanities and Social Sciences/Economics and Finance/domain_shs.eco.eco, Foundations of probability theory, 02 engineering and technology, Convergence of probability measures

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 1984 English Publisher:Springer Science and Business Media LLCJournal:Rivista di Matematica per le Scienze Economiche e Sociali, volume 7, pages 39-44 (issn: 1593-8883, eissn: 1129-6569,

Authors: SCARSINI, MARCO;

doi: 10.1007/bf02106373

handle: 11385/6898

Strong measures of concordance and convergence in probability

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Abstract

It is shown that convergence in probability is sufficient for a strong measure of concordance to converge to one, and that convergence to one of a strong measure of concordance, along with convergence in law, is sufficient for convergence in probability.

Related Organizations

French National Centre for Scientific Research
France
HEC Paris
France
University of Parma
Italy
Institut des Sciences Humaines et Sociales
France
Paris Chamber of Commerce
France

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Keywords

concordance, convergence, strong measure of concordance, probability, convergence in probability, [SHS.ECO.ECO] Humanities and Social Sciences/Economics and Finance/domain_shs.eco.eco, Foundations of probability theory, Convergence of probability measures, Strong measures

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