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Temporal modelling of short-term rainfall using Cox processes

Temporal modelling of short-term rainfall using Cox processes

Ramesh, N.I. (1998) Temporal modelling of short-term rainfall using Cox processes. Environmetrics, 9 (6). pp. 629-643. ISSN 1180-4009 (Print), 1099-095X (Online) (doi:10.1002/(SICI)1099-095X(199811/12)9:6<629::AID-ENV327>3.0.CO;2-4)

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Abstract

We study two marked point process models based on the Cox process. These models are used to describe the probabilistic structure of the rainfall intensity process. Mathematical formulation of the models is described and some second-moment characteristics of the rainfall depth, and aggregated processes are considered. The derived second-order properties of the accumulated rainfall amounts at different levels of aggregation are used in order to examine the model fit. A brief data analysis is presented. Copyright © 1998 John Wiley & Sons, Ltd.

Item Type: Article
Uncontrolled Keywords: rainfall, Cox process, intensity, rectangular pulse model, maximum likelihood, point process
Subjects: Q Science > QA Mathematics
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 08:59
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/136

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