Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/114209
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| Type: | Journal article |
| Title: | A simplified approach to produce probabilistic hydrological model predictions |
| Author: | McInerney, D. Thyer, M.A. Kavetski, D. Bennett, B. Lerat, J. Gibbs, M. Kuczera, G. |
| Citation: | Environmental Modelling and Software, 2018; 109:306-314 |
| Publisher: | Elsevier |
| Issue Date: | 2018 |
| ISSN: | 1873-6726 1873-6726 |
| Statement of Responsibility: | David McInerney, Mark Thyer, Dmitri Kavetski, Bree Bennett, Julien Lerat, Matthew Gibbs, George Kuczera |
| Abstract: | Abstract not available |
| Keywords: | Probabilistic prediction; rainfall-runoff modelling; method of moments; maximum likelihood |
| Rights: | Crown Copyright © 2018 Published by Elsevier Ltd. All rights reserved. |
| DOI: | 10.1016/j.envsoft.2018.07.001 |
| Grant ID: | http://purl.org/au-research/grants/arc/LP140100978 |
| Published version: | http://dx.doi.org/10.1016/j.envsoft.2018.07.001 |
| 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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