Reviews of seismicity around Taiwan: Weibull distribution

J. Wang ()

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 80, issue 3, 1668 pages

Abstract: Statistical studies and empirical models play an important role in earthquake research. In this paper, a new statistical study was presented, evaluating if earthquake magnitude probability functions could be modeled by the Weibull distribution that is commonly used in many areas. On the basis of more than 50,000 earthquake data around Taiwan, the statistical analyses show that the hypothesis examined was not rejected by the statistics. That is, the earthquake magnitude probability function around Taiwan could be modeled by the Weibull distribution, with a substantial statistical significance. Copyright Springer Science+Business Media Dordrecht 2016

Keywords: Weibull distribution; Earthquake magnitude function; Statistical hypothesis tests (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11069-015-2045-7 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:80:y:2016:i:3:p:1651-1668

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-015-2045-7

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().