Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/54224
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWong, G.-
dc.contributor.authorLambert, M.-
dc.contributor.authorMetcalfe, A.-
dc.date.issued2008-
dc.identifier.citationAustralia and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal, 2008; 49:306-323-
dc.identifier.issn1446-8735-
dc.identifier.issn1446-8735-
dc.identifier.urihttp://hdl.handle.net/2440/54224-
dc.descriptionCopyright © 2008 Australian Mathematical Society-
dc.description.abstractAustralian 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.-
dc.description.statementofresponsibilityG. Wong, M. F. Lambert and A. V. Metcalfe-
dc.language.isoen-
dc.publisherAustralian Mathematics Publ Assoc Inc-
dc.source.urihttp://anziamj.austms.org.au/ojs/index.php/ANZIAMJ/article/view/364-
dc.titleTrivariate copulas for characterisation of droughts-
dc.typeJournal article-
dc.identifier.doi10.0000/anziamj.v49i0.364-
pubs.publication-statusPublished-
dc.identifier.orcidLambert, M. [0000-0001-8272-6697]-
dc.identifier.orcidMetcalfe, A. [0000-0002-7680-3577]-
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.