Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Nat. Hazards Earth Syst. Sci., 17, 357-366, 2017
https://doi.org/10.5194/nhess-17-357-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
08 Mar 2017
Efficient bootstrap estimates for tail statistics
Øyvind Breivik and Ole Johan Aarnes
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Interactive comment by R.W. Katz', Richard Katz, 23 Nov 2016 Printer-friendly Version 
AC1: 'Response to Reviewer #1', Oyvind Breivik, 17 Jan 2017 Printer-friendly Version 
 
RC2: 'Title: Efficient Bootstrap Estimates for Tail Statistics Author(s): Øyvind Breivik and Ole Johan Aarnes', Sofia Caires, 29 Dec 2016 Printer-friendly Version 
AC2: 'Response to Reviewer #2, Sofia Caires', Oyvind Breivik, 17 Jan 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (12 Feb 2017) by Nadia Pinardi  
AR by Oyvind Breivik on behalf of the Authors (21 Feb 2017)  Author's response  Manuscript
ED: Publish as is (25 Feb 2017) by Nadia Pinardi  
CC BY 4.0
Publications Copernicus
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Short summary
Return values can be estimated from large data sets stemming from numerical models. The question explored here is how much of the original data must be kept in order to compute unbiased return estimates. We find that retaining only a small fraction is usually enough. This offers huge storage and computational savings. We provide a set of examples to demonstrate how this can be done.
Return values can be estimated from large data sets stemming from numerical models. The question...
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