Sentence examples for deviation grows from inspiring English sources

Here we discuss a number of solar and space problems where nonquasilinear diffusion is found, and then we illustrate anomalous transport regimes, for which the mean square deviation grows nonlinearly with time.

CO emissions (Fig. 8) are extremely low for most of the drivers; however when throttle standard deviation grows CO emission grows more than linearly.

The molar volume of the mixtures is found to deviate from additive quantities towards greater values, the deviation growing as the difference in the size of ions replacing each other increases.

(4) DAS can invariably quantify the source accurately, irrespectively of the focus distance, whereas FDAS is burdened with a quantification deviation growing with the increase of the exponent parameter, when the focus distance is unequal to the distance from the source to the array center or the focus directions do not embrace the source direction.

For communication via Wi-Fi Disect, it is observed that the human body as an obstacle influences communication because the RTT average and RTT standard deviation grew bigger by increasing the number of students seated between the two tablets.

The deviations grow as the molar ratio of lighter and heavier halide anions replacing each other in the melts increases.

Numerical computations by Jacques Laskar have since made it plausible that the solar system is in fact unstable, with deviations growing by a factor of about 10 every 10m years.

Figure 5 shows that the standard deviations grow during transition intervals after the wave source activation and then tend to constant values different at each altitude.

Although basic statistics implies that the standard deviation should grow with the square root of r, in [7] the standard deviation of the light intensity emitted during 454-sequencing is reported to be σ = k·r.

Compare this to the same scale in the American National Election Study where the standard deviation has grown by 2.7.

Our research shows that in such cases, decision makers may clearly understand the statistical risk represented by the deviation, but grow increasingly less concerned about it.