Ramesh, N.I. ORCID: 0000-0001-6373-2557 (2001) Statistical analysis of extreme forest fires. In: Proceedings: Forest Biometry, Modelling and Information Systems. Proceedings: Forest Biometry, Modelling and Information Systems, Greenwich, London, UK.

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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 extreme wildland fires are analysed using a point process model for extremes. The 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 is adapted with maximum likelihood method to estimate model parameters.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings: Forest Biometry, Modelling and Information Systems
Additional Information:	[1] This paper was first presented at Forest Biometry, Modelling and Information Science, a IUFRO 4.11 (International Union of Forest Research Organisations: Statistical Methods, Mathematics, and Computing) conference, held at the University of Greenwich, London, UK in June 2001. It was given within the Computationally Intense Methods theme.
Uncontrolled Keywords:	statistics, forest fires, forestry
Subjects:	Q Science > QA Mathematics S Agriculture > SD Forestry
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 Publisher
Last Modified:	27 Oct 2020 14:50
URI:	http://gala.gre.ac.uk/id/eprint/576

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