Multivariate assessment of droughts: Frequency analysis and dynamic return period

149 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Spatial analysis of meteorological drought return periods in China using Copulas (2015, methodology): “These researchers mainly studied Copulas characteristics and employed Copula to construct the joint distribution in a few sites or across small areas (Liu et al. 2011; Michele et al. 2013; Zhang et al. 2012, 2015).”
A multivariate copula‐based framework for dealing with hazard scenarios and failure probabilities (2016, background): “As a result, a ‘‘XGumbelFrank’’ 2-copula, belonging to the Khoudraji–Liebscher’s family discussed in Durante and Salvadori [2010] and Salvadori and De Michele [2010] [see also Salvadori et al.”