Sentence examples for a coefficient which represents from inspiring English sources

For sufficiently large detector (or analyser) acceptances however (Fig. 11 ▶), the separate contributions will be collected, making a summation of the intensities necessary to deliver the spatially incoherent scattered intensity of the PDI: where etc. and ρ is a coefficient which represents the magnitude of the domain-wall intensity contribution.

The main parameter of the formula (a transport coefficient), which represents the efficiency of the waves in keeping sand grains in suspension, was expressed through a Dean number based on dimensional analysis.

On the basis of the experimentally measured steel stresses over the shear span in the RC beams, Kim et al. (1998) proposed an empirical coefficient, which represents arch action contribution to the total shear capacity.

The internal consistency of the SPADI scale and the EQ-5D questionnaire was assessed using Cronbach's alpha coefficient, which represents a measure of how well each question (item) of the scale is correlated with the sum of the remainders.

Another example is the kurtosis coefficient, which represents the craggedness level of a PEC response signal, that is used in sample's edge identification [52].

To test the robustness of this choice we used Yule's Q coefficient, which represents measures of association, in a sensitivity analysis.

Biological replicates quality was assessed by means of R-squared coefficient, which represents the fraction of variance explained by a linear model.

In order to calculate the winding patterns for non-geodesic filament wound products, the slippage coefficient, which represents the frictional force between the fiber tows and the mandrel surface, was introduced to find the region of possible winding patterns.

It is noted that the initial concentration of gas in foamy oil can be obtained from the trapped free gas coefficient which represents the capability of the heavy oil to trap the released gas after depressurization.

Also in Table 3, we see the correlation coefficient which represents the ratio between the data predicted by the neural network and real data: R 2 = 1 - ∑ i = 1 i = n y i, predic - y i, exp 2 ∑ i = 1 i = n y i, exp - y m 2 (3)where n is the number of data point, y i, predict the network prediction, y i, exp experimental response, y m average actual and i is an index of data.

Level 2 variance and the variance partition coefficient, which represents the percentage of variance explained by the level 2, are given.