The phrase "accuracy of the amount" is correct and usable in written English.
It can be used when discussing the precision or correctness of a specific quantity or figure, often in financial or statistical contexts.
Example: "The accuracy of the amount reported in the financial statement is crucial for maintaining investor trust."
Alternatives: "precision of the figure" or "correctness of the value."
In order to raise the accuracy of the moisture amount estimated on the basis of the degree of gloss, it is necessary to normalize the data based on multiple measurements.
"The customer expectation is massive in terms of the accuracy of the delivery, the amount of time they're prepared to invest in that delivery... and the amount of money they're prepared to pay for that delivery, which effectively is nothing at all," he said.
Besides that questions may be raised about the accuracy of the measured amounts of home care.
Using functional magnetic resonance imaging (fMRI) we show that emphasizing the speed of a perceptual decision at the expense of its accuracy lowers the amount of evidence-related activity in lateral prefrontal cortex.
Our scheme relies on the well-known representation of data contour maps, which trade off accuracy with the amount of samples.
We show in Fig. 12 the assimilation effects of high-resolution PWV on the simulation accuracy of the hourly rainfall amount.
In the experiment that used the small horizontal localization radii, the accuracy of the hourly rainfall amount was most improved when the horizontal resolution of the assimilated PWV data was 3.5 km.
In the "CNTL" experiment, the simulation accuracy of the hourly rainfall amount was degraded when the mean inter-station distance of the assimilated PWV around Uji was decreased from 8.0 to 3.5 km.
Despite the amount of missing data for species such as Melogale personata and Mustela altaica, studies have shown that phylogenetic information content of included data for a taxon is more important in achieving phylogenetic accuracy than the amount of missing data per se, especially in the context of a supermatrix analysis [ 119, 120].
The ANN model is trained such that it is able to predict with an acceptable accuracy range the amount of absorbed energy for different configurations of input variables.
