Date Recorded: Tuesday, November 10, 2020
Host: Erin DeCarlo
SwRI is pleased to present a webinar on Sensitivity Analysis. This is the third webinar in a series on probabilistic methods for uncertainty quantification in engineering applications.
In the context of modeling and simulation, sensitivity analysis is closely related to uncertainty quantification. Variations in model inputs lead to variation in model output, but what is the nature of the influence of individual model inputs, and which particular inputs demand the most attention? This webinar will explore sensitivity analysis techniques that are commonly used to better understand the relationship between model inputs and outputs. After reviewing one-variable-at-a-time approaches, we will take a closer look at global sensitivity analysis using variance decomposition. We will cover the key concepts behind variance decomposition with a focus on interpretation of results.
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