====== Probabilistic SA method ======

The method estimates the following sensitivity indices:

^Sensitivity index                                       ^When to Use                                                                                                                                                                     ^
|Pearson product-moment correlation coefficient (Pearson)|Computes the correlation coefficient. Interesting when model is linearly depending on parameters.                                                                               |
|Spearman's rank correlation coefficient (Spearman)      |Computes the ranked correlation coefficient. Interesting when model is linearly or monotonically depending on parameters.                                                       |
|Standardized Regression Coefficient (SRC)               |Sets up a regression model from the raw data. Interesting when model is linearly depending on parameters.                                                                       |
|Standardized Rank Regression Coefficient (SRRC)         |Sets up a regression model from the ranked data. Interesting when model is linearly or monotonically depending on parameters.                                                   |
|Partial Correlation Coefficient (PCC)                   |Computes the correlation coefficient taking into account the rest of the varying parameters. Interesting when model is linearly depending on parameters.                        |
|Partial Rank Correlation Coefficient (PRCC)             |Computes the ranked correlation coefficient taking into account the rest of the varying parameters. Interesting when model is linearly or monotonically depending on parameters.|
|EASI first order correlation coefficient (EASI)         |Quantifies the first order effects, if model is additive this will take into account the full variance.                                                                         |

==== Settings ====

The possible settings are:

^Setting                 ^Explanation                                                                                                      ^
|Iterations              |The number of iterations per parameter. It equals the number of total model evaluations.                         |
|Enable correlation      |Enables correlation between input parameters. The correlation matrix is defined in the correlation matrix editor.|
|Latin hypercube sampling|Uses latin hypercube sampling. If unchecked, ordinary Monte Carlo method is used.                                |
|Seed                    |The seed used by methods random number generator. If it is //Auto//, a random seed will be used each time.       |