The phrase "accuracy of the static" is correct and usable in written English.
It can be used in contexts discussing the precision or correctness of static data or information, often in technical or analytical discussions.
Example: "The accuracy of the static measurements is crucial for ensuring reliable results in our experiment."
Alternatives: "precision of the static" or "correctness of the static".
The compliance rate is endogenous and dependent on the information accuracy of the static ATIS.
The NSA response is frequently compared with that obtained using RHA, which also uses the same material models, to verify the accuracy of the static procedure.
According to multi-day statistics of a single tracking station, the accuracy of the static solution and the kinematic solution is improved by 64.7% and 25.6%, respectively.
Consistent across epochs, the overall accuracy of the static forest-cover layers was 91%, and the overall accuracy of forest-cover change was > 88% —among the highest accuracies reported for recent global forest- and land-cover data products.
The method is derived and applied to both numerical and experimental measured flexibility matrices, and the improved accuracy of the static flexibility over the dynamically measured flexibility is demonstrated.
The first set of Neural Networks (NN) were trained using random data as inputs, measured strain values were introduced as input into the already trained neural network to access the training algorithm and quantify the accuracy of the static load prediction produced by the trained NN.
Although the convergent positioning results of GPS and GPS/GLONASS static PPP solutions after the addition of Galileo measurements do not demonstrate as significant improvement as those of the kinematic PPP solutions, the positioning accuracy of the GPS/Galileo static PPP solutions compared to the GPS-only static PPP still demonstrates an improvement of approximately 25% on the east component.
There are several situations that can affect the accuracy of the pitot-static instruments.
This study critically examines the accuracy of the GLT for static and dynamic response of plates for a variety of laminate configurations.
In order to ensure the accuracy of the model prediction, the static solution of VAR and VEC is applied to predict the monthly international Brent crude oil prices from September 2017 to December 2022 outside of the sample.
While the majority of the measurement error studies only assess the repeatability or accuracy of the devices using static-bench [ 9, 17, 35] or dynamic [ 19– 26, 36] experiments separately, the present study focused on a wider approach for statically and dynamically assessing the accuracy and repeatability of a device.
