Using Statistics to Analyze Uncertainty in System Models

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Engineers and scientists rely on models to describe system behavior. System models are often created and analyzed under the assumption that the model inputs, defining parameters (constants), and operating environment are known precisely. Every real-world system operates under uncertainty, however, and failure to account for that uncertainty can lead to inaccurate predictions of system behavior.

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