Multivariate return period calculation via survival functions
By G. Salvadori, Fabrizio Durante, Carlo De Michele. 2013
127 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/19ab07fd4219a7e05624678bfe380971bf2973c1
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In Global and Planetary Change
- Shenglian Guo
- F. Serinaldi
- Lihua Xiong
- Chong-yu Xu
- Carlo De Michele
- G. Salvadori
- Cong Jiang
- Vijay P. Singh
In Water Science and Technology
- F. Serinaldi
- Shenglian Guo
- Chong-yu Xu
- G. Salvadori
- Carlo De Michele
- Cong Jiang
- Lihua Xiong
- Shih-Chieh Kao
Citations in the corpus
- An uncertain journey around the tails of multivariate hydrological distributions (2013, methodology): “The Kendall distribution is used not only to define the so-called Kendall return period [Salvadori et al., 2011; Salvadori and De Michele, 2013; Salvadori et al., 2013] but also to assess the goodness-of-fit between the empirical copula and a tested parametric family.”
- Multivariate assessment of droughts: Frequency analysis and dynamic return period (2013, background): “[10] Furthermore, a randomization strategy is introduced, in order to get rid of repeated measurements, which may adversely affect the statistical analysis of the available data, as well as the calculation of the RP’s of interest : a practical example is shown, involving the fit of the drought durat”
- Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula (2015, background): “applied in hydrological frequency analysis (Salvadori and De Michele, 2010; Salvadori et al., 2011; De Michele et al., 2013; Salvadori et al., 2013).”