absolute error

absolute error

[′ab·sə‚lüt ′er·ər]
(mathematics)
In an approximate number, the numerical difference between the number and a number considered exact.
(ordnance)
Shortest distance between the center of impact or the center of burst of a group of shots and the point of impact or burst of a single shot within the group.
Error of a sight consisting of its error in relation to a master service sight with which it is tested and of the known error of the master service sight.
References in periodicals archive ?
Admissible value of the basic absolute error limit when measuring the transmission factor
Absolute error is plotted for (2) and (3) for temperatures between -5[degrees] and 45[degrees]C and dewpoint depressions from 1[degrees] to over 70[degrees]C.
Table 4 summarize the test accuracy based on mean absolute error, root mean squared error, relative absolute error and root relative squared error and it is graphically shown in figure 5.
Three kinds of error indices were used: error, absolute error and squared error.
The moisture meters considered differ substantially in their technical level, which can be characterized by the magnitude of the absolute error in measuring the moisture content at the lower range.
Absolute error comparison of different approximating methods has been shown in Fig.
This showed that their patient-specific model reduced the median absolute error in estimated average blood glucose from more than 15 mg/dL to less than 5 mg/dL, representing an error reduction of more than 66%.
To evaluate the proposed method authors used six performance measures namely peak signal to noise ratio (PSNR), mean squared error (MSE), root mean squared error (RMSE), signal to noise ratio (SNR), mean absolute error (MAE) and structural similarity (SSIM), which indicated a stable outcome under any type of attack and performs significantly better than state-of-the-art watermarking approaches.
In order to make a more accurate evaluation of the LSSVM model with error correction, mean absolute error (MAE), mean square error (MSE) and mean absolute percent error (MApE) are selected to evaluate the prediction results quantitatively in this paper.
E]), mean absolute error (EAM), root mean square error (RQME) and Willmott's d index (WILLMOTT, 1981) were also determined for all equations by means of the following expressions:
Mean absolute error (MAE) is the average over the verification sample of the absolute values of the differences between forecast and the corresponding observation.
The mean absolute error (MAE) and mean absolute relative error (MARE) are also introduced as measures of accuracy.