Probabilistic envelope curves for design flood estimation at ungauged sites
By Attilio Castellarin. 2007
97 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/27ff4975ae2ab3c0f055513234b5c9fadbcf39d9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Donald H. Burn
- Attilio Castellarin
- Armando Brath
- J. Heo
- Hongjoon Shin
- Sooyoung Kim
- Younwoo Kho
- Taesoon Kim
In Water Science and Technology
- Donald H. Burn
- Attilio Castellarin
- Armando Brath
- J. Heo
- Younwoo Kho
- Sooyoung Kim
- Hongjoon Shin
- Taesoon Kim
Citations in the corpus
- Homogeneity testing : How homogeneous do heterogeneous cross-correlated regions seem? (2008, methodology): “Recently it has been shown how a probabilistic statement can be attached to regional envelope curves (RECs) identified for homogeneous regions (Castellarin et al., 2005; Castellarin, 2007; Vogel et al., 2007).”
- Regression equations of probability plot correlation coefficient test statistics from several probability distributions (2008, methodology): “(1993) and Cunnane’s (1978) work, while unbiased plotting position formula for the GEV distribution are recently suggested by Castellarin (2007).”