Inference for an extreme value model accounting for inter-site dependence

Gabd, Darmesah and Tawn, Jonathan (2017) Inference for an extreme value model accounting for inter-site dependence. In: 4th International Conference on Mathematical Sciences - Mathematical Sciences : Championing the Way in a Problem Based and Data Driven Society, ICMS 2016. AIP Conference Proceedings . American Institute of Physics Inc., MYS. ISBN 9780735414983

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Abstract

The spatial extreme value data observed at many sites is usually modelled by a multivariate extreme value distribution to take into account the inter-site dependence. However, the analysis involving many sites could create computational and mathematical issues because of the high dimensionality. This study will illustrate an alternative method to come up with estimates for dependent extreme data. The main interest will be in the trend parameter estimate and its standard error. We will show a simulation study to illustrate the advantages of the alternative method to the multivariate extreme value distribution.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Publisher Copyright: © 2017 Author(s).
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/3100/3100
Subjects:
?? general physics and astronomy ??
ID Code:
177753
Deposited By:
Deposited On:
28 Oct 2022 09:30
Refereed?:
Yes
Published?:
Published
Last Modified:
10 Sep 2024 13:50