Sentence examples for coefficient the impact of from inspiring English sources

In this paper, the new concept of generalized passivity is introduced to extend the concept of passivity to a dynamical system of any relative degrees and to quantify by a penalty coefficient the impact of its dynamics on the performance of its networked operation.

A significant difference between the inner product and correlation coefficient is that correlation coefficient excludes the impact of data mean, so we can consider whether it is feasible if the column vectors of sensing matrix are centered or normalized firstly and still use inner product as screening criterion of matching atoms.

This coefficient measures the impact of the price of jth import on the demand for ith import.

The air-side heat transfer coefficient limits the impact of using a nanofluid for the air liquid exchangers.

If there is correlation between unemployment rates of alternative destination countries, the estimated coefficient of the impact of unemployment rate in the origin country on migration flows is biased upwards.

If there is correlation between unemployment rates of alternative origin countries, the estimated coefficient of the impact of unemployment rate in the origin country on foreign migration flows is biased upwards.

In the Ordered Logit, on the other hand, the regression estimates a joint coefficient for the impact of the age at arrival 6-9 dummy.

Although the transition curves both move to the upper zone of the parametric plane and the region of unstable zones shrink when the damping coefficient increases, the impact of damping is different.

Although the coefficient for the impact of the share of skilled workers with IVET qualifications on the recruitment of such workers is insignificant, its positive coefficient and the positive and significant coefficients for the other shares together comprise a strong indicator favouring the reproduction hypothesis.

Averaging the incidence angle corrected radar backscatter coefficient reduced the impact of surface moisture on the models and improved their performance at all study sites, with R2 ranging between 0.61 and 0.82, RMSE between 2.02 and 5.64 and bias between 0.02 and −0.06, respectively, at 100 m spatial resolution.

The dominance of the diffusion coefficient masks the impact of the other parameters.