xeasi
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| + | XEASI (eXtended EASI) Higher Order Sensitivity Indices are a method used in sensitivity analysis, particularly in the context of computer experiments or numerical simulations. Sensitivity analysis aims to understand how variations in input parameters of a model affect the output, thereby identifying which parameters are most influential and how they interact. | ||
| + | XEASI Higher Order Sensitivity Indices extend upon the Elementary Effects method, which is commonly used for estimating sensitivity indices. Elementary Effects involve perturbing one input parameter at a time and observing the changes in the output. Higher Order Sensitivity Indices consider interactions between multiple parameters simultaneously, | ||
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| + | XEASI Higher Order Sensitivity Indices can help researchers identify not only the main effects of individual parameters but also the interactions between them, including second-order, | ||
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| + | The computation of XEASI Higher Order Sensitivity Indices typically involves conducting a series of model evaluations with different combinations of parameter values, followed by statistical analysis to estimate the sensitivities and interactions. These indices can provide insights into the non-linear behavior of the model and help in making informed decisions about parameter prioritization, | ||
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| + | Overall, XEASI Higher Order Sensitivity Indices offer a more nuanced understanding of how input parameters collectively influence the model output, allowing for more robust analysis and decision-making in various fields such as engineering, | ||
xeasi.txt ยท Last modified: 2024/03/27 11:13 by dmytroh
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