Abstract
If X and Y are random variables with joint distribution function H, their dependence may be measured by Kendall’s tau, τ(X,Y), expressed as 4E(V) — 1 in terms of the random quantity V = H(X,Y) with distribution K on the interval [0,1]. A new dependence ordering based on K is defined and studied; although it does not always imply the classical positive quadrant dependence ordering, it is shown to be weaker than the association ordering of (1987) under weak regularity conditions.
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© 1997 Springer Science+Business Media Dordrecht
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Capéraà, P., Fougères, AL., Genest, C. (1997). A Stochastic Ordering Based on a Decomposition of Kendall’s Tau. In: Beneš, V., Štěpán, J. (eds) Distributions with given Marginals and Moment Problems. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5532-8_9
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DOI: https://doi.org/10.1007/978-94-011-5532-8_9
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