random error

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random error

[′ran·dəm ′er·ər]
(statistics)
An error that can be predicted only on a statistical basis.
References in periodicals archive ?
Essays by editor Christopher Scoates deal with Eno's fascination with mistakes and random errors, and his interest in the aesthetics of time.
Since the same measurement channel is used, then voltage measurement should be free from bias errors, therefore random errors should be summed by their power.
Throughout life, tissues of the body accumulate genetic mutations due to random errors in copying the DNA when cells divide.
This reconfigured code at minimal noise environment corrects only one random error and multiple random errors at high noise environment.
The phases of the ghost echo are uncorrelated with the true return signal so their effect will be to increase the random error in the velocity estimate at each gate; this may occur over several neighboring gates but these random errors should not introduce any bias as the ghost echoes decorrelate between successive pulse pairs.
The recalibration effort must consider both the random errors inherent in the calibration process [[epsilon].sub.i] and the potential lack of fit described by the function [f.sub.i].
Systemaic and random errors of sensors in building energy systems can have a great negative effect on building system performance and indoor environmental quatilty, because the advanced building technologies including building monitoring, control, fault detection and diagnosis (FDD), etc.
Random errors such as overshoots, error telegrams, repeats and diagnostics can also be captured and logged.
Scores with low reliability have limited value for comparing performance over time and across children, since psychologists cannot trust that scores reflect meaningful variations instead of random errors.
Caption: FIGURE 3: The estimated probability density of Grubbs' estimator for [[sigma].sub.RO] when the random errors have either a normal, lognormal, or generalized lambda (thin tail or thick tail) distribution.
Then the optimal QPE method is selected from five methods by assessing the variation of the random errors from latest precipitation estimates for different precipitation cloud systems.
The latitude variations in the zero meridian are simulated by the same time series of polar motion plus a model of normally distributed random errors N(0, 0.1 as), based on Forsythe, Malcolm and Moler algorithm (Forsythe et al., 1977).