Sentence examples for a standard variance of from inspiring English sources

X n is a non-linear term, representing medium- and small-scale feature information; G is a Gaussian random variable and follows the distribution of N (0, 1); σ is a standard variance of the normal distribution of data; H is the Hurst index depicting the detail and roughness of the data information; ‖ΔX‖ is a sample interval; and K is the calibration coefficient of the non-linear term.

Assuming a standard variance of LSAS scores in our sample, this supported the use of 10 LSAS points as a non-inferiority margin.

In other words, the reservoir permeability followed a normal distribution with a known standard variance of 0.5.

(3) Calculate the standard variance of the normalized coefficients in each layer and direction.

Thus, the effectiveness of the proposed method is more obvious when the standard variance of the probability distribution of wind power forecasting errors is large.

Let T o be the threshold obtained by Otsu's method on M max x, y), and VarM be the standard variance of M max x, y).

For the lightweight time synchronization protocol, the variance of synchronization error is 4h σ2, where h is the number of hops from the sensor node to the time base station and σ is the standard variance of point to point time difference.

By linear transformation of the predicted value of IK and summing the standard variance of the prediction error, the error index contains both the closeness of predicted value to the threshold and the uncertainty of the prediction, and can reflect the possibility of misclassification of the soil contaminant grades.

For each gene product p, u(p) is the algorithmic mean of its expression values and σ(p) is the standard variance of its expression values.

It can be used as a method of detecting hotspots, and can be expressed as follows [ 6, 7]: Here, S is the standard variance of the birth defects occurrence ratio, When the distance from village j to i is within distance d, then w ij (d) = 1; otherwise w ij (d) = 0, and,.

The standard variances of probability distributions are given in Table 1.