Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 10, Issue 1 (2012)
  4. A New Family of Bivariate Copulas Genera ...

Journal of Data Science

Submit your article Information
  • Article info
  • Related articles
  • More
    Article info Related articles

A New Family of Bivariate Copulas Generated by Univariate Distributions
Volume 10, Issue 1 (2012), pp. 1–17
Xiaohu Li   Rui Fang  

Authors

 
Placeholder
https://doi.org/10.6339/JDS.2012.10(1).1011
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

Abstract: A new family of copulas generated by a univariate distribution function is introduced, relations between this copula and other well-known ones are discussed. The new copula is applied to model the dependence of two real data sets as illustrations.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
Archimedean copula upper tail dependence coefficient Weibull distribution

Metrics
since February 2021
547

Article info
views

369

PDF
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Journal of data science

  • Online ISSN: 1683-8602
  • Print ISSN: 1680-743X

About

  • About journal

For contributors

  • Submit
  • OA Policy
  • Become a Peer-reviewer

Contact us

  • JDS@ruc.edu.cn
  • No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Powered by PubliMill  •  Privacy policy