Semi-Parametric Analysis of Extreme Forest Fires

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Ramesh, N.I. ORCID: https://orcid.org/0000-0001-6373-2557 (2005) Semi-Parametric Analysis of Extreme Forest Fires. FBMIS, 1. pp. 1-10. ISSN 1740-5955

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Official URL: http://cms1.gre.ac.uk/conferences/iufro/fbmis/A/5_...

Abstract

Forest fires can cause extensive damage to natural resources and properties. They
can also destroy wildlife habitat, affect the forest ecosystem and threaten human lives. In this
paper incidences of extreme wildland fires are modelled by a point process model which
incorporates time-trend. A model based on a generalised Pareto distribution is used to model
data on acres of wildland burnt by extreme fire in the US since 1825. A semi-parametric
smoothing approach, which is very useful in exploratory analysis of changes in extremes, is
illustrated with the maximum likelihood method to estimate model parameters.

Item Type:	Article
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Mathematical Sciences School of Computing & Mathematical Sciences > Statistics & Operational Research Group
Related URLs:	Publisher
Last Modified:	27 Oct 2020 14:50
URI:	http://gala.gre.ac.uk/id/eprint/864

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