What are some effective validation techniques for simulations?

What are some effective validation techniques for simulations?

Effective validation techniques for simulations include sensitivity analysis, verification, and comparison with real-world data.

Can you explain sensitivity analysis in more detail?

Sensitivity analysis examines how the variation in model output can be attributed to different input variables, helping identify critical factors.

What is the difference between verification and validation?

Verification checks if the model is implemented correctly, while validation ensures the model accurately represents the real-world system.

How can I compare simulation results with real-world data?

You can compare simulation results with real-world data by using statistical methods like regression analysis or error metrics.