Skip navigation
Skip navigation

Set-membership approach for identification of parameter and prediction uncertainty in power-law relationships: The case of sediment yield

Keesman, Karel J.; Norton, John; Croke, Barry; Newham, Lachlan; Jakeman, Anthony

Description

Power laws are used to describe a large variety of natural and industrial phenomena. Consequently, they are used in a wide range of scientific research and management applications. This paper focuses on the identification of bounds on the parameter and prediction uncertainty in a power-law relation from experimental data, assuming known bounds on the error between model output and observations. The prediction uncertainty bounds can subsequently be used as constraints, for example in...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
URI: http://hdl.handle.net/1885/69899
Source: Environmental Modelling and Software
DOI: 10.1016/j.envsoft.2012.09.007

Download

File Description SizeFormat Image
01_Keesman_Set-membership_approach_for_2013.pdf1.16 MBAdobe PDF    Request a copy


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

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator