Sentence examples for statistical dispersion from inspiring English sources

The statistical dispersion analysis is performed by Monte-Carlo simulation.

For the same reason, we used the median absolute deviation (mad), which represents the median of the absolute deviation from the median, as a measure of statistical dispersion.

Time-stability was monitored at five soil depths (0.10 m, 0.20 m, 0.30 m, 0.40 m and 1.0 m), analyzing the statistical dispersion measures (SDM).

In doing so, we show that GP emulation can provide an acceptable level of accuracy, with no bias and low statistical dispersion, while tremendously reducing the computational time.

The prevailing period corresponds to the maxima of the displacement spectra for zero damping and is used to normalize the spectra, leading to significant decrease of the statistical dispersion.

This problem is instead well addressed by FEMA 356 [3], which prescribes a limit value (14%) to the statistical dispersion of the measures performed on a set of concrete specimens.

Traditional experimental approaches used for fiber reinforced composites have been widely applied to study CNT's-cement composites; nevertheless, high statistical dispersions and conflicting reports have been found to be a common issue due to the nanometric nature of CNT's.

The pattern describing the uncertainties of design variables are probability distributions that can be assigned based on the trends of statistical dispersions including Gaussian normal, log-normal, Bernoulli sequence and Poisson distributions.

We also extracted baseline and final means and statistical dispersions of each group for the following metabolic profiles: A1C, FPG, fasting insulin, total cholesterol, fasting triglycerides, LDL cholesterol, HDL cholesterol, and 2-h postprandial levels of glucose and insulin.

The dispersion of passive scalars and inertial particles in a turbulent flow can be described in terms of probability density functions (PDFs) defining the statistical distribution of relevant scalar or particle variables.

After taking hormone treatment and screening into account, no statistically significant non-explained variation in incidence remained (the P value for potential statistical over-dispersion was 0.08 for the final model).