Search


Current filters:


Start a new search
Add filters:

Use filters to refine the search results.


Results 1-8 of 8 (Search time: 0.002 seconds).
  • previous
  • 1
  • next
Item hits:
PreviewIssue DateTitleAuthor(s)
2009Making the most of modelling: A decision framework for the water industryBlackmore, J.; Dandy, G.; Kuczera, G.; Rahman, J.; World IMACS and MODSIM09 International Congress (18th : 2009 : Cairns, Qld)
2009'Calibrate it twice': A simple resampling method for incorporating parameter uncertainty in stochastic data generationSrikanthan, R.; Kuczera, G.; Thyer, M.; Hydrology and Water Resources Symposium (32nd : 2009 : Newcastle, Australia)
2009Impact of runoff measurement error models on the quantification of predictive uncertainty in rainfall-runoff modelsThyer, M.; Renard, B.; Kavetski, D.; Kuczera, G.; Anderssen, R.S.; Braddock, R.D.; Newham, L.T.H.; World IMACS and MODSIM09 International Congress (18th : 2009 : Cairns, Qld)
2009Characterizing errors in areal rainfall estimates: application to uncertainty quantification and decomposition in hydrologic modellingRenard, B.; Leblois, E.; Kuczera, G.; Kavetski, D.; Thyer, M.; Franks, S.; Hydrology and Water Resources Symposium (32nd : 2009 : Newcastle, Australia)
2009How long do phases of the Interdecadal Pacific Oscillation (IPO) persist? : Utilising palaeoclimate data in stochastic hydrologyHenley, B.; Thyer, M.; Kuczera, G.; William, F.; Hydrology and Water Resources Symposium (32nd : 2009 : Newcastle, Australia)
2009A probabilistic behavioural approach for the dynamic modelling of indoor household water useThyer, M.; Duncan, H.; Coombes, P.; Kuczera, G.; Micevski, T.; Hydrology and Water Resources Symposium (32nd : 2009 : Newcastle, New South Wales)
2009Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysisThyer, M.; Renard, B.; Kavetski, D.; Kuczera, G.; Franks, S.; Srikanthan, S.
2009Comment on "An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction" by Newsha K. Ajami et al.Renard, B.; Kavetski, D.; Kuczera, G.