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Semi-Parametric Analysis of Extreme Forest Fires

Semi-Parametric Analysis of Extreme Forest Fires

Ramesh, N.I. (2005) Semi-Parametric Analysis of Extreme Forest Fires. FBMIS, 1. pp. 1-10. ISSN 1740-5955

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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:
Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/864

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