Sentence examples for found to be a good approximation from inspiring English sources

Exact(7)

A Hamaker constant with a value of 6 × 10− 20 J was found to be a good approximation, in the case of SSA calculations.

This has been found to be a good approximation on average since the transport is mostly determined by the opacities and less by the frequencies.

Besides, rigid walls are found to be a good approximation, as the degrees of freedom of the walls does not change the overall properties of the fluid according to previous results [11, 12].

This is done by modeling the PH distribution with a Gaussian function (the asymmetry between the higher- and lower-energy sides are also taken into account using two Gaussian functions), which we found to be a good approximation for both the ground experimental data and in-flight data.

41 42 A linear relation with the outcomes was found to be a good approximation for temperature and duration of fever; for C reactive protein we used a logarithmic transformation (lnCRP).

For example, Steyerberg et al. [ 18] state: " For the continuous predictor's age, glucose, and Hb, a linear relationship with outcome was found to be a good approximation after assessment of non-linearity using restricted cubic splines".

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Similar(53)

Generally implicit solvent tends to be a good approximation where it models isotropic and bulk solvent.

If p o is found to be stationary to good approximation then, by uniqueness of the stationary distribution of an ergodic process, p o would be a good approximation to p M. We therefore suppose that at some time t the distribution is given by p o and compute, using Equation 1, the change in p o after one generation.

On average, however, the cross-order terms are found to be insignificant and can be neglected with good approximation.

Since the prevalence of the outcome was found to be high at (65.4%), odds ratios were not a good approximation of the measure of association[ 24, 25].

Greedy algorithm can achieve a good approximation, but it is found to be computationally expensive.

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