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Standard deviation of error of predictions.
However, the standard deviation of error is significant due to noise in the dataset [55].
Mean and standard deviation of error distribution are equal to 0.0000 and 0.0207, respectively.
The mean absolute error and the standard deviation of error are 0.42 and 0.54 cm, respectively.
Mean bias error and standard deviation of error are denoted by diamond markers and error bars, respectively.
The mean and standard deviation of error changes by at most 1% over the entire tilt range.
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The standard deviation of errors is (<2^{circ }) at 0.5 m and (<4^{circ }) at 3 m away from the robot.
Compared to the existing approaches for fingerprint filtering, our method achieves a better performance, in both average error of estimation, and deviation of errors.
In Table 1, x ¯ E Open image in new window is the error mean and s E is the standard deviation of errors in k iteration.
From Table 1, we also can see the quantitative measures of accumulated errors: such as in frame 20, the maximum, mean and standard deviation of errors of KLLS are 0.114, 0.044, and 0.036; the maximum, mean and standard deviation of errors of KL are 0.227, 0.120, and 0.062.
Ogle (1952) found that the standard deviation of errors, for a task in which the depth of a briefly presented target was aligned with that of a reference, increased exponentially with the disparity of the two stimuli relative to fixation.
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