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The phrase "approximation is consistent with" is correct and usable in written English.
You can use it when discussing how an estimate or approximation aligns with a certain standard, theory, or set of data.
Example: "The approximation is consistent with the observed results from the experiment, indicating that our model is accurate."
Alternatives: "the estimate aligns with" or "the approximation matches".
Exact(1)
An important question, however, is whether such theoretical approximation is consistent with empirical data.
Similar(59)
We used a simplification of the Planck–Henderson equation to approximate the junction potential in thermolytic RED systems based on conductivity measurements, and this approximation was consistent with experimentally measured junction potentials.
48 While the influenza vaccine effectiveness estimate is consistent with approximations from two recent meta-analyses demonstrating influenza vaccine effectiveness against pneumonia hospitalization, 30, 32 the width of its confidence interval demonstrates imprecision and a lack of statistical power.
These approximations are consistent with the GC geometry [32] and respects the GC symetries but exclude any GC steering or elongation in the simulation.
Though this model is not a complete representation of the G protein-coupled signal transduction system and contains many approximations, it is consistent with our experimental observations and is a useful substrate for further experimentation.
While our 1-D source velocity model is an approximation, the slip model is consistent with the seismic moment estimates for that model.
The methodology involves several approximations and uncertainties but is consistent with a wider movement towards quantifying risks in PM2.5 irrespective of source.
Both optical and STS bandgaps of eGNRs are smaller than the theoretically predicted bandgap determined with the GW approximation (3.38 eV, Fig. 1), which is consistent with similar data obtained for other atomically precise GNRs38, 39.
This result is consistent with our approximation above in (77) and (79).
However, in quantitative terms, the approximations underpredict the coherence distortion as is consistent with the low-order truncations of the Volterra series.
We neglect the effects of interference mutations weaker than the target mutations, which is consistent with the hierarchy approximation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com