The phrase "as a large parameter" is correct and usable in written English.
It can be used in contexts related to mathematics, statistics, or programming where parameters are discussed, particularly when referring to a significant or influential variable.
Example: "In our model, we consider temperature as a large parameter that affects the overall outcome of the experiment."
Alternatives: "as a significant variable" or "as a major factor".
In this paper we investigate how the character of the two-dimensional map changes over a large parameter range as the system is driven from a non-impacting orbit to an impacting orbit.
Observe that the value of Γ has a large effect on when oscillation occurs: when Γ is small (i.e. the PDEs have high affinity for cAMP), oscillations occur over a large parameter range, but as Γ increases, the parameter range decreases significantly.
Consistent with this view, Figure 4 shows that the linear regime of periodic selection is extended to a larger parameter range as the long-range migration rate is increased.
After linearization, the system model can be treated as a linear system with large parameter uncertainties.
The wear phenomenon evaluation in EPB shield tunneling machines is not a simple issue, as a large number of parameters are involved, such as soil and tool material properties, soil conditioning and pressure in the bulk chamber.
Neural networks have been proven to be useful in their capacity to handle non-linear relationships as well as a large number of parameters, and also their ability to detect all possible interactions between predictor variables.
For pointwise estimation, it is shown that the estimator optimally adapts to every compact, convex set instead of a collection of large parameter spaces as in the conventional minimax theory in nonparametric estimation literature.
These test cases which sample semimajor axis and inclination space in the inner main belt, were chosen as probes into the large parameter space described above.
Calibration is a challenging task, as a large numbers of input parameters are involved (e.g., nodal elevations and demands including water losses; pipe length, diameter and roughness coefficients; the rate of water supply and water level at the source; pump characteristics; valve settings, etc).
How to design effective error-control methods, for models with a large steepness parameter β, is, as far as the authors know, still an open problem.
