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Diagonal Copulas

In: Distributions with given Marginals and Moment Problems

Author

Listed:
  • Roger B. Nelsen

    (Lewis & Clark College)

  • Gregory A. Fredricks

    (Lewis & Clark College)

Abstract

A diagonal copula has the form K(u,υ) = min(u, υ,(1/2)[δ(u) + δ(υ)]) where δ is any function satisfying (i) δ(1) = 1; (ii) 0 ≤ δ(t 2) - δ(t 1) ≤ 2(t 2 - t 1) for all t 1, t 2 in [0,1] with t 1 ≤ t 2; and (iii) δ(t) ≤ t for all t ∈ [0,1]. A diagonal copula is an ordinal sum of Min and what we call quasi-hairpin copulas, and conversely. Diagonal copulas are symmetric, singular and extremal. We relate them to shuffles of Min and copulas with hairpin support, and prove the following characterization theorem: Suppose X and Y are continuous random variables with copula C and a common marginal distribution function. Then the joint distribution function of max(X,Y) and min(X, Y) is the Fréchet upper bound if and only if C is a diagonal copula.

Suggested Citation

  • Roger B. Nelsen & Gregory A. Fredricks, 1997. "Diagonal Copulas," Springer Books, in: Viktor Beneš & Josef Štěpán (ed.), Distributions with given Marginals and Moment Problems, pages 121-128, Springer.
  • Handle: RePEc:spr:sprchp:978-94-011-5532-8_15
    DOI: 10.1007/978-94-011-5532-8_15
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