Sentence examples for error given as from inspiring English sources

Exact(2)

The standard error, given as a percentage, and the 95% confidence intervals were calculated.

For chronological data, the uncertainty is commonly an experimental error given as a standard deviation or a range of ages, e.g., after calibration of radiocarbon ages.

Similar(58)

The duration of UE sections (for a definition, see Materials and Methods) composed of consecutive UE windows (136.0 ± 48.8 ms, all errors given as standard deviation; n = 840) is in general shorter than the duration of CC sections (485.1 ± 371.1 ms; n = 428), indicating their transient nature.

Agreement with PathVysion and other techniques used to determine HER2 status is shown in Table 2. human human epidermal growth factor receptor 2; CISH, chromogenic in situ hybridisation; IHC, immunohistochemistry. (* errors given as ± SD) There was excellent agreement (100%) between the dual-probe techniques, namely PathVysion and pharmDx.

The fixation light was extinguished and error feedback was given as soon as a pedal response was recorded, or if no response was made within 2,000 ms of target onset.

A sufficient condition ensuring the asymptotic convergence of the observation error towards zero is given, as well as an explicit relation between the bound of the delay and the parameter of the observer.

The combined variance-covariance matrix of model parameters including both measurement error and a priori error is given as {boldsymbol{S}}_c={boldsymbol{S}}_m+{boldsymbol{S}}_s.

Thus the cost of the error is given as (4) S error, j = - log ∏ k = 1 N j p (f k | H j ) (5) = - ∑ k = 1 N j log (p (f k | H j ) ) (6) = - ∑ k = 1 N j ∑ n = 1 ∞ 1 n (1 - p (f k | H j ) ) n (7) ≈ N j - ∑ i = 1 N j p (f k | H j ) where log(p(f i ∣ H j )) is the log likelihood that an point belongs to the plane, and N j the number of points explained by hypothesis j.

The factor RSSI e is the ranging error (also DME or RSSI error) is given as d ( i, j ) ( 1 - 1 0 X σ 10 α ), where Xσ is a zero-mean Gaussian random variable with standard deviation σ and α is the path loss constant.

Here we focus on the error at the endpoint (T=2,4), and the error is given as (E vert y_{n} omega -x(T,omega) vert ^{2} omega -x(y_{n}(omega)) denoTes the value of (2.3) at the endpoint.

Errors are given as standard error of means (s.e.m).m

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