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The paper also shows that the sensitivity matrix, combined with techniques such as correlation analysis and scatter plots, can be used effectively to compare the sensitivity of different inputs, locate sensitive regions in parameter space, decompose the dependency of the model response on the input factors, and identify nonlinear and incorrect relationships in the model.
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