Assessing the applicability of fractional order statistics for computing confidence intervals for extreme quantiles

By F. Serinaldi. 2009

47 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/b70e2c69469120d3cfdbd6d75237a172f54b2021

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

1. F. Serinaldi
2. Shenglian Guo
3. Vijay P. Singh
4. M. Janga Reddy
5. Poulomi Ganguli
6. András Bárdossy
7. Chris G. Kilsby
8. Niko E. C. Verhoest

In Water Science and Technology

1. F. Serinaldi

Citations in the corpus

• An uncertain journey around the tails of multivariate hydrological distributions (2013, methodology): “…small size of hydrological samples has a dramatic impact on the reliability of predictions of extreme quantiles [Kleme s, 2000a, 2000b; Reed, 2002; Serinaldi, 2009; Xu et al., 2010], a strong impact is also expected in a multivariate framework, in which the uncertainty of the marginal…”