𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Distribution functions of multivariate copulas

✍ Scribed by José A. Rodrı́guez-Lallena; Manuel Úbeda-Flores


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
239 KB
Volume
64
Category
Article
ISSN
0167-7152

No coin nor oath required. For personal study only.

✦ Synopsis


For continuous random vectors X = (X 1 ; X 2 ; : : : ; X n ) and multivariate distribution functions H 1 and H 2 with common univariate marginals, we study the distribution function of the random variable H 1 (X) given that the joint distribution function of X is H 2 . We show that the distribution function of H 1 (X) depends only on the copulas C 1 and C 2 associated with H 1 and H 2 , and examine various properties of these distribution functions. We also illustrate some applications including multivariate dependence orderings.


📜 SIMILAR VOLUMES


Distribution functions of copulas: a cla
✍ Roger B. Nelsen; José Juan Quesada-Molina; José Antonio Rodrı́guez-Lallena; Manu 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 103 KB

We discuss a two-dimensional analog of the probability integral transform for bivariate distribution functions H1 and H2, i.e., the distribution function of the random variable H1(X; Y ) given that the joint distribution function of the random variables X and Y is H2. We study the case when H1 and H

Supermodular dependence ordering on a cl
✍ Gang Wei; Taizhong Hu 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 147 KB

In most situations, the dependence monotonicities of copulas are checked by problem-speciÿc approaches. Sometimes, it is impossible to check the monotonicities from the analytic forms of copulas. The purpose of this paper is to lay out some general results that can be used to identify dependence par