Best-possible bounds on sets of bivariate distribution functions
DOI10.1016/j.jmva.2003.09.002zbMath1057.62038OpenAlexW2066459312MaRDI QIDQ1882946
Roger B. Nelsen, José Juan Quesada-Molina, José Antonio Rodríguez-Lallena, Manuel Úbeda-Flores
Publication date: 1 October 2004
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2003.09.002
copulasKendall's taudistribution functionsquasi-copulasbest-possible boundsquartilesFréchet-Hoeffding inequality sharpening
Inequalities; stochastic orderings (60E15) Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Characterization and structure theory of statistical distributions (62E10)
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Cites Work
- An introduction to copulas. Properties and applications
- A characterization of quasi-copulas
- On the characterization of a class of binary operations on distribution functions
- BOUNDS ON BIVARIATE DISTRIBUTION FUNCTIONS WITH GIVEN MARGINS AND MEASURES OF ASSOCIATION
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