Journal metrics

Journal metrics

  • IF value: 1.129 IF 1.129
  • IF 5-year value: 1.519 IF 5-year 1.519
  • CiteScore value: 1.54 CiteScore 1.54
  • SNIP value: 0.798 SNIP 0.798
  • SJR value: 0.610 SJR 0.610
  • IPP value: 1.41 IPP 1.41
  • h5-index value: 21 h5-index 21
  • Scimago H index value: 48 Scimago H index 48
Volume 24, issue 4 | Copyright
Nonlin. Processes Geophys., 24, 737-744, 2017
https://doi.org/10.5194/npg-24-737-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 06 Dec 2017

Research article | 06 Dec 2017

Optimal heavy tail estimation – Part 1: Order selection

Manfred Mudelsee and Miguel A. Bermejo
Viewed
Total article views: 691 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
410 216 65 691 117 56 66
  • HTML: 410
  • PDF: 216
  • XML: 65
  • Total: 691
  • Supplement: 117
  • BibTeX: 56
  • EndNote: 66
Views and downloads (calculated since 20 Jun 2017)
Cumulative views and downloads (calculated since 20 Jun 2017)
Viewed (geographical distribution)
Total article views: 690 (including HTML, PDF, and XML) Thereof 677 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved (final revised paper)
No saved metrics found.
Saved (discussion paper)
No saved metrics found.
Discussed (final revised paper)
No discussed metrics found.
Discussed (discussion paper)
No discussed metrics found.
Latest update: 16 Aug 2018
Publications Copernicus
Download
Short summary
Risk analysis of extremes has high socioeconomic relevance. Of crucial interest is the tail probability, P, of the distribution of a variable, which is the chance of observing a value equal to or greater than a certain threshold value, x. Many variables in geophysical systems (e.g. climate) show heavy tail behaviour, where P may be rather large. In particular, P decreases with x as a power law that is described by a parameter, α. We present an improved method to estimate α on data.
Risk analysis of extremes has high socioeconomic relevance. Of crucial interest is the tail...
Citation
Share