The phrase "as a sensitivity coefficient" is correct and usable in written English.
It can be used in contexts related to mathematics, statistics, or engineering, particularly when discussing the responsiveness of a variable to changes in another variable.
Example: "The model was adjusted to account for the changes in temperature, using the value calculated as a sensitivity coefficient."
Alternatives: "as a responsiveness measure" or "as a sensitivity parameter."
The quantitative expression of this effect could be given by a sensitivity coefficient, defined as the derivative of the logarithm of the flux F with respect to the logarithm of the rate constant k: (8) C F k = ∂ log (F ) ∂ log k.
For each parameter estimate a sensitivity coefficient
A sensitivity coefficient (SC) was calculated to identify model responses to variations in parameters and inputs.
The linear approximation to the coupling between {δAi} and δPq may be expressed as: (3) δ P q = ∑ i = 1 n S i q δ A i where Siq = ∂ P q / ∂ A i and is a dimensionless coefficient representing the sensitivity of phenotype 'q' to change of activity of gene 'i', equivalent to that used as a local sensitivity coefficient in system robustness analysis [ 30].
As the stress sensitivity coefficient increases, the fracturing fluid filtration coefficient and fracturing fluid leak-off rate will decrease, while as the volume of fracturing fluid pumped in enlarges, the fracturing fluid filtration coefficient and the leak-off rate will increase.
The SNR expressions are expressed in terms of the statistics of the noise in the measurements, as well as the coil sensitivity coefficients.
Also, a root locus sensitivity coefficient is defined as an index of damping introduced to each mode by the velocity feedback.
However, the persistent parametric perturbations in standard PSA are incapable of providing this information as the sensitivity coefficients represent an integrated effect.
For estimating ρ, we use both the regression model (5) estimate and, as a sensitivity analysis, the correlation coefficient of the residuals from the regressions in (3) and (4).
Increasing heat flux leads to an increase in the flow sensitivity coefficient and a decrease in the outlet enthalpy sensitivity coefficient.
