Practical identifiability analysis of environmental models
Identifiability of a system model can be considered as the extent to which one can capture its parameter values from observational data and other prior knowledge of the system. Identifiability must be considered in context so that the objectives of the modelling must also be taken into account in its interpretation. A model may be identifiable for certain objective functions but not others; its identifiability may depend not just on the model structure but also on the level and type of noise,...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014|
|01_Marsili-Libelli_Practical_identifiability_2014.pdf||812.33 kB||Adobe PDF|
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