Sentence examples for variables at the same time from inspiring English sources

Correlation matrix is used for determining the dependence between multiple variables at the same time.

Current visualization tools for such data sets make it difficult to make multivariate comparisons and show the geographic distribution of the selected variables at the same time.

In the Seo test, we are unable to test whether no cointegration or threshold cointegration for all the variables at the same time.

The planning optimizes a large number of design variables at the same time including size and location of ESSs and diesel DGs, daily operation of diesel DGs, daily charging-discharging pattern of ESSs, and optimal depth of discharge for ESSs.

Because cross-sectional areas are usually defined by discrete values in practice due to manufacturing limitations, the optimisation algorithm must assess a mixed-variable optimisation problem that includes both discrete and continuous variables at the same time.

This variation introduces a range-invariant range walk and a range azimuth coupling term [2, 7] (range azimuth coupling term is a spectrum phase term which is dependent on both range and azimuth frequency variables at the same time).

Juggling the Spheres All this brings us to a theory of how the moral sense can be universal and variable at the same time.

An ideal intervention on a system cannot intervene on both the independent and the dependent variable at the same time.

Note that only the change of the energy influx can be measured and be used as a control variable at the same time when used in process controlling.

We found that whilst both the Peclet and the TIS equation were able to predict concentration within the CW, this required the optimisation of more than one variable at the same time rendering a result that was more of a modelling exercise than a useful design tool.

Loading vector corresponding to each principal component should be determined based on the criteria that maximizing variance of latent variable as well as correlation coefficient between latent variable and dependent variable at the same time, which could be realized by maximizing the covariance of the latent variable and dependent variable.