作者: Edward F. Wolff
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摘要: In recent joint papers with B. Schweizer, we used the notion of a copula to introduce family symmetric, nonparametric measures dependence two random variables. Here, present n-dimensional extensions these and Spearman's ro. We study them vis-a-vis appropriate higher dimensional analogues Renyi's axioms for dependence, determine relations among them, in some cases establish reduction formulae their computation.