Comparison of sensitivity analysis techniques: A case study with the rice model WARM
By Roberto Confalonieri, Gianni Bellocchi, S. Bregaglio, Marcello Donatelli, Marco Acutis. 2010
223 citations recorded by the source corpus.
Subfields: Plant Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f6c220225d3e3571727f9c6b28c7ca1083c5d633
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Plant Science
In Statistics and Probability
Citations in the corpus
- Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R' (2014, methodology): “3.37 In analogy to ANOVA, the methods use techniques for the decomposition of the total variance of model output into first-(main) and higher-order (interaction) effects for each input factor (Confalonieri et al. 2010).”
- Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications (2015, unknown): “…SA methods, practitioners require adequate resource to better understand the methods that are appropriate for a specific application (Ratto et al., 2007; Tang et al., 2007b; Pappenberger et al., 2008; Confalonieri et al., 2010; Yang, 2011; Reusser et al., 2011; Sun et al., 2012; Gan et al., 2014).”
- A performance comparison of sensitivity analysis methods for building energy models (2015, methodology): “…that used or supported the Sobol method as the reference method (Saltelli and Bolado 1998; Ridolfi 2013; Massmann and Holzmann 2012; Wainwright et al. 2013; Confalonieri et al. 2010; Campolongo et al. 2007; Yang 2011), the Sobol method was considered the reference method for further investigations.”