Characterisation of Drought Properties with Bivariate Copula Analysis
By Fadhilah Yusof, Foo Hui-Mean, J. Suhaila, Z. Yusof. Water resources management, 2013
90 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/edb72f1cc12c67e2c6e893a29cda1742e3c63add
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In Ecology, Evolution, Behavior and Systematics
In Global and Planetary Change
Citations in the corpus
- Is southwestern China experiencing more frequent precipitation extremes? (2014, methodology): “For multivariate frequency analyses, copulas have recently received much attention, because they provide flexible representation of multivariate distributions (Chen et al 2013, Madadgar and Moradkhani 2013, Mishra and Singh 2011, Singh and Singh 1991, Yusof et al 2013).”
- Trivariate Frequency Analyses of Peak Discharge, Hydrograph Volume and Suspended Sediment Concentration Data Using Copulas (2014, methodology): “Copulas have been used for modelling droughts (Wong et al. 2010; Ganguli and Reddy 2012; Ma et al. 2013; Yusof et al. 2013), to check adequacy of dam spillway (De Michele et al.”
- Copula-based risk assessment of drought in Yunnan province, China (2015, background): “However, Yusof et al. (2013) show that drought severity and duration are best fit by the three-parameter lognormal distribution and the generalized Pareto distribution, respectively.”