Multivariate modeling of droughts using copulas and meta-heuristic methods

By M. Janga Reddy, Vijay P. Singh. Stochastic environmental research and risk assessment (Print), 2014

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Multivariate Drought Frequency Analysis using Four-Variate Symmetric and Asymmetric Archimedean Copula Functions (2018, background): “SPEI-6 is most useful for describing the shallow soil moisture available to crops (Reddy and Singh, 2014; Abdi et al. 2016).”
Upper tail dependence in rainfall extremes: would we know it if we saw it? (2015, methodology): “It also works well when this hypothesis is not fulfilled, except in the case that the real UTD is null’’ (Requena et al. 2013) or ‘‘Though the estimator assumes that the underlying copula can be approximated by an extreme-value copula, studies have shown that the estimator performs well even if the ”