Combined use of local and ANOVA-based global sensitivity analyses for the investigation of a stochastic dynamic model: Application to the case study of an individual-based model of a fish population

By V. Ginot, Sabrina Gaba, R. Beaudouin, F. Aries, Hervé Monod. 2006

94 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Ocean Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/13eaafa017804602be9e70432bfeea72f5bdf93e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Winfried Kurth
2. Jan C. Thiele
3. Volker Grimm

In Statistics and Probability

1. Winfried Kurth
2. Jan C. Thiele
3. Volker Grimm

Citations in the corpus

• Incorporating output variance in local sensitivity analysis for stochastic models (2008, methodology): “In global SA, this is sometimes done in ANOVA-related methods (Chaloupka, 2002; Ginot et al., 2006), and other methods (Campolongo et al., 2007).”
• Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R' (2014, methodology): “3.1 Sensitivity analysis (SA) is used to explore the influence of varying inputs on the outputs of a simulation model (Ginot et al. 2006).”