The phrase "accuracy of the coefficients" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or data analysis when discussing the precision or correctness of numerical values in a model or equation.
Example: "The accuracy of the coefficients in the regression model is crucial for making reliable predictions."
Alternatives: "precision of the coefficients" or "correctness of the coefficients."
It is also possible to note that the accuracy of the coefficients of C1 z) is better than the accuracy of the coefficients of G z), for all rates of sample loss.
Through statistical analyses using a confidence interval, the accuracy of the coefficients was improved by reducing the effective range.
Also, the accuracy of the coefficients was improved by reducing the effective range specified in these codes by 27 34 %.
It is claimed that a stratified sample and post-stratification improve noticeably the accuracy of the coefficients (for the generation of deliveries and pick-ups).
Furthermore, the accuracy of the coefficients is not always guaranteed because of a number of variables affecting the coefficients while testing.
On the other hand, this reduction of the diversity of quantized values results in less accuracy of the coefficient to "representative" mapping, which results in an overall loss of image quality.
Therefore, diffusion experiments should be designed such that they allow for efficient measurements while still leading to high accuracy of the diffusion coefficients.
This allows to quantify the impact of missing experimental information on the accuracy of the identified coefficients, as well as on subsequent predictions.
In order to check the accuracy of the diffusion coefficients determined by this method step-up experiments on a nonactive silicalite were performed and analysed.
The accuracy of the calculated coefficients is checked by using their p values.
First we compared the accuracy of the diffusion coefficients calculated by the approach based on the Nicholson-Shain equation, SVR with linear kernel, SVR with RBF kernel (Table 1), GPR with linear covariance function, and GPR with squared exponential covariance function (Table 2) for each of the three reaction mechanisms (Figure 4).
