International Journal of Mathematics and Mathematical Sciences · 2004 · 28 citations · 3 references
Natural SciencesBiostatisticsMathematicsMeasurement InvarianceProbability TheoryStatisticsConcordance AnalysisInferential StatisticsJoint DistributionsMeasures Of AssociationMultivariate AnalysisProbability DistributionsContinuous Random VariablesCopula ModelsMass DistributionRandom Vector
A continuous random vector ( X , Y ) uniquely determines a copula C : [0, 1] 2 → [0, 1] such that when the distribution functions of X and Y are properly composed into C , the joint distribution function of ( X , Y ) results. A copula is said to be D 4 ‐invariant if its mass distribution is invariant with respect to the symmetries of the unit square. A D 4 ‐invariant copula leads naturally to a family of measures of concordance having a particular form, and all copulas generating this family are D 4 ‐invariant. The construction examined here includes Spearman’s rho and Gini’s measure of association as special cases.
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Marco Scarsini · Hispana · 1984 · 163 citations · Full text
Mikusiński, Sherwood · Real Analysis Exchange · 1991 · 11 citations