| 11. | With sensitivity analysis, the system complexity can be reduced and the cause-and-effect chain can be explained,.
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| 12. | Sensitivity analysis has been proven to be a powerful tool to investigate a complex kinetic model.
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| 13. | Robust Bayesian analysis, also called Bayesian sensitivity analysis, investigates the robustness of answers from a Bayes rule.
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| 14. | The problem setting in sensitivity analysis also has strong similarities with the field of design of experiments.
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| 15. | Developed in parallel to sensitivity analysis, its earliest mention can be found in a thesis from 1952.
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| 16. | Sensitivity analysis ( SA ) is used to assess the influence of model parameters on model predictions.
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| 17. | SPICE2 also contained code for other small-signal analyses : sensitivity analysis, pole-zero analysis, and small-signal distortion analysis.
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| 18. | In models involving many input variables, sensitivity analysis is an essential ingredient of model building and quality assurance.
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| 19. | FAST is more efficient to calculate sensitivities than other variance-based global sensitivity analysis methods via Monte Carlo integration.
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| 20. | A related field is sensitivity analysis.
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