A software review for extreme value analysis

被引:51
作者
Gilleland, Eric [1 ]
Ribatet, Mathieu [2 ]
Stephenson, Alec G. [3 ]
机构
[1] Natl Ctr Atmospher Res, Res Applicat Lab, Boulder, CO 80307 USA
[2] Univ Montpellier 2, Inst Math, Montpellier, France
[3] CSIRO, Melbourne, Vic, Australia
基金
美国国家科学基金会;
关键词
Extreme value theory; Software development; Spatial extremes; Statistical computing; INFERENCE; DISTRIBUTIONS; PACKAGE; MOMENT; MODELS; TAIL;
D O I
10.1007/s10687-012-0155-0
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Extreme value methodology is being increasingly used by practitioners from a wide range of fields. The importance of accurately modeling extreme events has intensified, particularly in environmental science where such events can be seen as a barometer for climate change. These analyses require tools that must be simple to use, but must also implement complex statistical models and produce resulting inferences. This document presents a review of the software that is currently available to scientists for the statistical modeling of extreme events. We discuss all software known to the authors, both proprietary and open source, targeting different data types and application areas. It is our intention that this article will simplify the process of understanding the available software, and will help promote the methodology to an expansive set of scientific disciplines.
引用
收藏
页码:103 / 119
页数:17
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