Sentence examples for a coefficient assigned to from inspiring English sources

The global index of adherence was obtained by summing the results of the different measurement of adherence methods used in the study (a coefficient assigned to each item with 0 for non adherence and 1 for adherence).

The linear discriminant functions (LDF) is given by Eq. 1: L = a^{{prime }} y = sumlimits_{j, =,1}^{p} {a_{j} y_{j} } (1 where L denotes LDF; p is the number of parameters used to classify a set of data into a given group; a j is the weight coefficient assigned to a given selected parameter y j.

The small coefficient assigned to such a variable in that event means that substantial deviations in its value will have a negligible effect on distances in the model space.

The second-to-last column gives the importance score assigned to each feature by our algorithm, and the last column is the coefficient assigned to it when a linear SVR is trained on the selected set to predict binding intensity.

The significance of the effect of a given factor was assessed by determining whether or not the coefficient assigned to one or more of its categories was sufficiently different from zero.

The runoff coefficient assigned to different categories ranges from 0 to 1 depending on the land use type as shown in Fig. 3b2.

The model output allows the following interpretation: the β coefficient assigned to each factor represents the difference of the logarithm of expected counts in a zone at time t, if all other factors were held equal.

c A bootstrapping calculation was performed to estimate distribution of the mean predicted probability for BD patients and HCs in the discovery cohort Fig. 3 a A bar graph showing LASSO algorithm coefficients assigned to the most relevant CANTAB neurocognitive measurements.

Reproducing precise values of selection coefficients proved a challenge, with the assumption of constant selection between sampling points leading to a systematic underestimate in the coefficients assigned to driver loci.

Once network gaps were closed, the individual biomass accumulation terms were combined into an overall biomass synthesis equation, with the appropriate coefficients assigned to each precursor to define the composition of biomass.

Using the coefficients assigned to each predictor in the logistic regression model, we derived a prediction model as follows: logit (predicted probability of infant with EONI) = -4.047 + 0.055*CRP + 0.013*[(WBC count/10000)^7.6354 - 1.660, where EONI was coded (0) if absent and (1) if present.