English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In many practical scenarios, including finance, environmental sciences,system reliability, etc., it is often of interest to study the various notionof negative dependence among the observed variables. A new bivariate copula isproposed for modeling negative dependence between two random variables thatcomplies with most of the popular notions of negative dependence reported inthe literature. Specifically, the Spearman's rho and the Kendall's tau for theproposed copula have a simple one-parameter form with negative values in thefull range. Some important ordering properties comparing the strength ofnegative dependence with respect to the parameter involved are considered.Simple examples of the corresponding bivariate distributions with popularmarginals are presented. Application of the proposed copula is illustratedusing a real data set on air quality in the New York City, USA.

On a Bivariate Copula for Modeling Negative Dependence: Application to New York Air Quality Data