Showing 1 open source project for "latin hypercube"

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    ABM-Calibration-SensitivityAnalysis

    Codes and Data for Calibration and Sensitivity Analysis of ABM

    ...The corresponding manuscript is published in Journal of Artificial Societies and Social Simulation as: Thiele JC, Kurth W, Grimm V (2014): Facilitating parameter estimation and sensitivity analysis of agent-based models: a cookbook using NetLogo and R. <http://jasss.soc.surrey.ac.uk/xx/x/x.html> Methods/Techniques used are: a. Parameter fitting: 1. Full Factorial Design 2. Simple Random Sampling 3. Latin Hypercube Sampling 4. Quasi-Newton Method 5. Simulated Annealing 6. Genetic Algorithm 7. Approximate Bayesian Computation b. Sensitivity Analysis: 1. Local SA 2. Morris Screening 3. DoE 4. Partial (Rank) Correlation Coefficient 5. Standardised (Rank) Regression Coefficient 6. Sobol' 7. eFAST 8. FANOVA Decomposition Have also a look on our other projects: http://www.uni-goettingen.de/de/315075.html
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