Sentence examples for mean value variance from inspiring English sources

The mean value, variance, and power spectra of the wind speed of the generated sample are assessed by comparison with the target parameters required.

( g(gamma ) = g(gamma left|varvec{theta}right). ) represents probability density function, ( varvec{theta} ) denotes deep parameter vector, which include mean value, variance or covariance, etc., and ( {varvec{V}}_{ni} (gamma ) ) is measurable utility.

Specifically, the selected time domain features include the mean value, variance, skewness, and kurtosis, which can be expressed as follows: μ i = E s i = 1 N ∑ n = 1 N s i, n (1) σ i 2 = E s i - μ i 2 = 1 N ∑ n = 1 N s i, n - μ i 2 (2) sk e i = E s i - μ i 3 σ i 3 = 1 N σ i 3 ∑ n = 1 N s i, n - μ i 3 (3) ku r i = E s i - μ i 4 σ i 4 = 1 N σ i 4 ∑ n = 1 N s i, n - μ i 4 (4).

Last, we studied the distributional shape of expressed gene values (and not of their numbers) by estimating individually for each parameter configuration its mean value, variance, skewness, and kurtosis.

The criterion for including published studies in our meta-analysis was that they reported mean values, variance and sample sizes of performance of local plants and foreign plants at one or several sites.

A summary of the average of data likelihoods (LnP(D)) is shown in Additional file 7. Mean values, variance components of each yield-related trait, heritability, and correlation coefficients were calculated, respectively.

Computer programs, such as Mx developed by Neale, now facilitate simultaneous modelling of mean values, variances and covariances derived from twin data to be performed.

The mean value and variance, as well as the cumulative density function of cumulative TC damage are estimated quantitatively.

The n-scores are simulated by random sampling of a Gaussian cumulative distribution function (cdf), defined at each location on the basis of a mean value and variance computed at each grid node by means of simple kriging method.

Expressions for the mean value and variance of natural frequencies and mode shapes are derived by using perturbation method and random interval moment method.

The first two statistical moments of the stochastic parameters including design variables are considered in conjunction with the second-order perturbation method for the approximation of mean value and variance of the structural response.