Practical identifiability analysis of large environmental simulation models
By R. Brun, Peter Reichert, Hans R. Künsch. 2001
598 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Management Science and Operations Research, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/e4d2fe13b712431b6a3ea3be1fde8dbc9e7d6d90
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In Global and Planetary Change
In Management Science and Operations Research
- Karline Soetaert
- Thomas Petzoldt
- Richard G. FitzJohn
- Qing Nie
- Stefanie Widder
- D. Berry
- Christopher Rackauckas
In Water Science and Technology
Citations in the corpus
- Comparison of parameter estimation methods for crop models (2004, background): “[7], fixing some parameters may introduce a bias in the estimates of other parameters.”
- Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME (2010, methodology): “Function sensFun estimates the sensitivity of the model output to the parameter values in a set of so-called sensitivity functions (Brun et al. 2001; Soetaert and Herman 2009).”
- Modeling growth and carbon allocation in two reed beds (Phragmites australis) in the Scheldt estuary (2004, methodology): “Calibration, sensitivity analysis, validation Model calibration and sensitivity analysis was performed according to the iterative procedure as explained in Brun et al. (2001) .”