Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/114209
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | McInerney, D. | - |
dc.contributor.author | Thyer, M.A. | - |
dc.contributor.author | Kavetski, D. | - |
dc.contributor.author | Bennett, B. | - |
dc.contributor.author | Lerat, J. | - |
dc.contributor.author | Gibbs, M. | - |
dc.contributor.author | Kuczera, G. | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Environmental Modelling and Software, 2018; 109:306-314 | - |
dc.identifier.issn | 1873-6726 | - |
dc.identifier.issn | 1873-6726 | - |
dc.identifier.uri | http://hdl.handle.net/2440/114209 | - |
dc.description.abstract | Abstract not available | - |
dc.description.statementofresponsibility | David McInerney, Mark Thyer, Dmitri Kavetski, Bree Bennett, Julien Lerat, Matthew Gibbs, George Kuczera | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | - |
dc.rights | Crown Copyright © 2018 Published by Elsevier Ltd. All rights reserved. | - |
dc.source.uri | http://dx.doi.org/10.1016/j.envsoft.2018.07.001 | - |
dc.subject | Probabilistic prediction; rainfall-runoff modelling; method of moments; maximum likelihood | - |
dc.title | A simplified approach to produce probabilistic hydrological model predictions | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1016/j.envsoft.2018.07.001 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/LP140100978 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | McInerney, D. [0000-0003-4876-8281] | - |
dc.identifier.orcid | Kavetski, D. [0000-0003-4966-9234] | - |
dc.identifier.orcid | Bennett, B. [0000-0002-2131-088X] | - |
dc.identifier.orcid | Gibbs, M. [0000-0001-6653-8688] | - |
Appears in Collections: | Aurora harvest 8 Civil and Environmental Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_114209.pdf | Accepted version | 1.36 MB | Adobe PDF | View/Open |
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