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|Title:||Software for the analysis of extreme events: The current state and future directions||Authors:||Stephenson, A.
|Keywords:||Extreme value theory
|Issue Date:||Sep-2005||Citation:||Stephenson, A.,Gilleland, E. (2005-09). Software for the analysis of extreme events: The current state and future directions. Extremes 8 (3) : 87-109. ScholarBank@NUS Repository. https://doi.org/10.1007/s10687-006-7962-0||Abstract:||The last few years have seen a significant increase in publicly available software specifically targeted to the analysis of extreme values. This reflects the increase in the use of extreme value methodology by the general statistical community. The software that is available for the analysis of extremes has evolved in essentially independent units, with most forming extensions of larger software environments. An inevitable consequence is that these units are spread about the statistical landscape. Scientists seeking to apply extreme value methods must spend considerable time and effort in determining whether the currently available software can be usefully applied to a given problem. We attempt to simplify this process by reviewing the current state, and suggest future approaches for software development. These suggestions aim to provide a basis for an initiative leading to the successful creation and distribution of a flexible and extensible set of tools for extreme value practitioners and researchers alike. In particular, we propose a collaborative framework for which cooperation between developers is of fundamental importance. © Springer Science + Business Media, LLC 2006.||Source Title:||Extremes||URI:||http://scholarbank.nus.edu.sg/handle/10635/105376||ISSN:||13861999||DOI:||10.1007/s10687-006-7962-0|
|Appears in Collections:||Staff Publications|
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