What are the limitations of sensitivity analysis?
An example of an AI chatbot conversation about the limitations of sensitivity analysis.
What are the limitations of sensitivity analysis?
Sensitivity analysis helps understand how different variables impact outcomes, but it has limitations.
Can you elaborate on those limitations?
Sure! Some limitations include assumptions of linearity, neglecting interactions between variables, and potential over-simplification.
How does linearity affect the results?
Linearity assumes a constant relationship between variables, which may not hold true in real-world scenarios, leading to inaccurate conclusions.
Are there alternatives to sensitivity analysis?
Yes, alternatives include scenario analysis, Monte Carlo simulations, and decision trees, which can provide more comprehensive insights.
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