in variance-based robustness analysis, the variations of the critical model responses are investigated. in optislang, random sampling methods are used to generate discrete samples of the joined probability density function of the given random variables. based on these samples, which are evaluated by the solver similarly as in the sensitivity analysis, the statistical properties of the model responses as mean value, standard deviation, quantiles and higher order stochastic moments are estimated.