The phrase "error is computed as" is correct and usable in written English.
You can use this phrase when you want to express that something is being calculated or quantified. For example: "The accuracy of the results was measured, and error is computed as 0.03%".
For a given trajectory, the interpolation error is computed as the average of all partial overlap errors: e_{n}=frac{1}{M} sum_{M}e_{i} (32).
Indeed, since the error is computed as the difference between forecasted and actual tax revenue, some simultaneity may appear between the variables' balance and misestimation (Chatagny and Soguel 2012).
For the two moving objects, the cross-range velocity induced quadratic phase error is computed as follows [2]: begin{array}rcl@ phi(t_{s})=left(4 pi v_{cr}v_{p}{t_{s}^{2}}right)/left(lambda_{w} d_{0}right) end{array} (34).
The error is computed as the norm of the difference between the average value of the samples and the mode of the multi-variate normal distribution ε = ∥ μ - 1 N ∑ n = 1 N x n ∥, where N is the number of samples, and x n ∈ R D is the n th sample.
Therefore, for the propagation parameter μ = 1, for 100 values of r f equi-spaced between 42 and 78, and for 100 values of σ equi-spaced between 1 and 8, the relative error is computed as follows: E r = | L - R | min ( L, R ) (22).
For the ILD, ITD, and MSC, the error is computed as the mean difference between the reference microphone signal cues, and the algorithm output signal cues, considering either only the target signal component (for ΔILDtg and ΔITDtg) or the background noise component (for ΔMSCbg).
Percentage error was computed as × SDBias/meanEELV[18].
The probabilities of type I and type II error are computed as follows: Probability of type I error, α = 2φ −k).
The error was computed as two times the standard deviations of the corrected single observations reported from Pinnacle output [38].
To avoid falling into this trap, for each elongation the model-data error was computed as the sum of the mean squared error during the elongation phase plus a set of seven mean squared errors computed over seven intervals of the relaxation phase (for each time constant in the model, we picked the interval that started with the end of the elongation and lasted three times the time constant).
Error was computed as standard deviation (SD).
