Sensitivity analysis can be conducted using various techniques, including local and global sensitivity methods. Local sensitivity analysis involves changing one parameter at a time to see its effect on the model output. In contrast, global sensitivity analysis examines the impact of varying multiple parameters simultaneously. Common methods include variance-based techniques, Monte Carlo simulations, and derivative-based approaches.
