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This contrasted with earlier models wherein the random error was assumed to be constant over time.
The random error can be reduced by increasing the number of averages.
So it is imperative to have accurate characterization of the random error.
Then we suggest to use the inverse of the array sample covariance matrix as the random error covariance.
The random error part is looked through in detail to ensure the wellbeing of the parametric model.
Statistics is used to estimate the random error that occurs during each step of an analysis, and, upon completion of the analysis, the estimates for the individual steps can be combined to obtain an estimate of the total experimental error.
e represents the random error term.
where u t is the random error.
ε t represents the random error term.
The term ɛ i is the random error.
In all cases, the random error of the Y position was less than ±0.01 mm.
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