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sensitivity_analysis_in_ecolego [2023/08/15 14:08]
mina [Methods] 		sensitivity_analysis_in_ecolego [2023/08/15 14:10] (current)
mina [Methods]
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 ^Method                         ^Description                                                                     ^First order^Total order^Custom order^ ^Method                         ^Description                                                                     ^First order^Total order^Custom order^
-|Sobol|Brute force method to compute any order of sensitivity indices                  |OK         |OK         |+|Sobol|Brute force method to compute any order of sensitivity indices                  |OK         |OK         |OK         |
 |[[FAST|FAST]]            |Fourier Amplitude Sensitivity Test. Computes the first order sensitivity index of each selected parameter.                                              |OK         |           |            | |[[FAST|FAST]]            |Fourier Amplitude Sensitivity Test. Computes the first order sensitivity index of each selected parameter.                                              |OK         |           |            |
-|[[EFAST|EFAST]]          |Extended Fourier Amplitude Sensitivity Test. Computes the first and total sensitivity index of each selected parameter or groups of parameters.                                     |OK         |           |+|[[EFAST|EFAST]]          |Extended Fourier Amplitude Sensitivity Test. Computes the first and total sensitivity index of each selected parameter or groups of parameters.                                     |OK         |OK         |
 |[[EASI|EASI]]            |An effective algorithm for computing global sensitivity indices. Computes correlation measures and the first order sensitivity index (EASI) using random (Monte Carlo or Latin Hyper cube) samples from probability distributions on the model parameters.                 |OK         |           | |[[EASI|EASI]]            |An effective algorithm for computing global sensitivity indices. Computes correlation measures and the first order sensitivity index (EASI) using random (Monte Carlo or Latin Hyper cube) samples from probability distributions on the model parameters.                 |OK         |           |
  
sensitivity_analysis_in_ecolego.txt · Last modified: 2023/08/15 14:10 by mina

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