robustness analysis

Robustness analysis is a method used to assess how resilient a model or system is to changes or uncertainties in its inputs or assumptions. Think of it as stress-testing; it examines how well a prediction or decision holds up when faced with different scenarios or unexpected variations. By exploring these alternative conditions, analysts can identify weaknesses and ensure that conclusions remain valid under a range of circumstances. This process helps improve confidence in the model's reliability and can guide better decision-making by recognizing potential risks and uncertainties.