THE FULL TAILS GAMMA DISTRIBUTION APPLIED to MODEL EXTREME VALUES

dc.contributor.author
Del, Castillo
dc.contributor.author
Daoudi, J.
dc.contributor.author
Serra, I.
dc.date.accessioned
2021-03-18T23:41:28Z
dc.date.accessioned
2024-09-19T14:29:36Z
dc.date.available
2021-03-18T23:41:28Z
dc.date.available
2024-09-19T14:29:36Z
dc.date.created
2017-01-01
dc.date.issued
2017-01-01
dc.identifier.uri
http://hdl.handle.net/2072/445759
dc.description.abstract
In this paper, we introduce the simplest exponential dispersion model containing the Pareto and exponential distributions. In this way, we obtain distributions with support (0, ∞) that in a long interval are equivalent to the Pareto distribution; however, for very high values, decrease like the exponential. This model is useful for solving relevant problems that arise in the practical use of extreme value theory. The results are applied to two real examples, the first of these on the analysis of aggregate loss distributions associated to the quantitative modelling of operational risk. The second example shows that the new model improves adjustments to the destructive power of hurricanes, which are among the major causes of insurance losses worldwide. Copyright © Astin Bulletin 2017.
eng
dc.format.extent
14 p.
cat
dc.language.iso
eng
cat
dc.publisher
Cambridge University Press
cat
dc.source
RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other
51
cat
dc.title
THE FULL TAILS GAMMA DISTRIBUTION APPLIED to MODEL EXTREME VALUES
cat
dc.type
info:eu-repo/semantics/article
cat
dc.type
info:eu-repo/semantics/publishedVersion
cat
dc.embargo.terms
12 mesos
cat
dc.identifier.doi
10.1017/asb.2017.9
cat
dc.rights.accessLevel
info:eu-repo/semantics/openAccess


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