Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/54224
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Trivariate copulas for characterisation of droughts
Author: Wong, G.
Lambert, M.
Metcalfe, A.
Citation: Australia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2008; 49:306-323
Publisher: Australian Mathematics Publ Assoc Inc
Issue Date: 2008
ISSN: 1446-8735
1446-8735
Statement of
Responsibility: 
G. Wong, M. F. Lambert and A. V. Metcalfe
Abstract: Australian agriculture is at serious risk from drought, and water resource infrastructure and management can mitigate the effects. The consequences of droughts depend on their intensity, duration and severity. These variables are correlated and the dependence structure is here described by copulas. Copulas are multivariate uniform distributions which allow for the dependence structure to be modelled independently of the marginal distributions. Trivariate Gaussian and Gumbel copulas are fitted to the data from a rainfall district in NSW. We assess the goodness of fit of the data to the different forms using several criteria. The data are best described by a Gumbel copula and three parameter Weibull marginal distributions.
Description: Copyright © 2008 Australian Mathematical Society
DOI: 10.0000/anziamj.v49i0.364
Published version: http://anziamj.austms.org.au/ojs/index.php/ANZIAMJ/article/view/364
Appears in Collections:Aurora harvest
Civil and Environmental Engineering publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.