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The sensitivity analysis indicated that the SSEBop model is most sensitive to input variables, land surface temperature (LST) and reference ET (ETo); and parameters, differential temperature (dT), and maximum ET scalar (Kmax), particularly during the non-growing season and in dry areas.
When R < 2(N–1), results may be quite sensitive to input values.
The developing brains of young children are highly sensitive to input from their social environment.
Calculated fatigue lives based on the S N approach are sensitive to input parameters.
These approaches, however, are sensitive to input function errors such as the appearance time of cerebral blood (ATB), known as the delay time.
Due to the statistical test-based summarization approach, GRIN is able to achieve near linear scalability and is not sensitive to input ordering.
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The results are plotted in Figure 2. One-way sensitivity analyses revealed that the model was sensitive to some input parameters.
The Weibull model is highly sensitive to its input values, which are selected through an understanding of the input data and iterative computation of constants.
Note that cells 1 and 3 have exceptionally large values at certain input intensity ranges indicating that these cells were more sensitive to certain input intensities.
One-way sensitivity analysis suggests that these results are highly sensitive to the input data.
Sensitivity analysis results show CDSS intervention costs are sensitive to the input price, discount rate and the length at which capital assets are used.
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CEO of Professional Science Editing for Scientists @ prosciediting.com