Sentence examples for corrected variables from inspiring English sources

Exact(3)

The same data correction for altitude as used by [28] was applied to obtain air temperature and pressure with altitude assuming a moist adiabatic lapse rate of 0.005 Km-1, and humidity calculated from the corrected variables.

The outcome is a set of bias corrected variables that are not assessed for bias in their joint dependence structure, nor biases in all attributes at other time scales (such as daily and monthly and annual) except the one under consideration.

The same data correction for altitude as used by [ 28] was applied to obtain air temperature and pressure with altitude assuming a moist adiabatic lapse rate of 0.005 Km-1, and humidity calculated from the corrected variables.

Similar(57)

Each version of the MHFL included new health facilities, fewer duplicates, and corrected variable values (Table 2).

Because D s, t) naturally increases with longer distances and time, a corrected variable, D0 s, t), is calculated as D s, t)/ K s)*K t).

Adding these variables, together with heuristically generated correcting variables, can improve the objective function steadily (cf. Figure4).

A multiple analyses of the impact of HER2/neu expression on overall survival, using both CXCR4 expressions (nuclear and cytoplasmic) and the SDF-1 abundance as correcting variables showed that there was no influence of one of these three parameters on the prognostic value of HER2/neu expression (data not shown).

This instrument could be of special importance in areas such as the food, oil or chemical industries to perform density measurements and to correct variable density in flow measurements.

To correct variable transfection efficiency, cells were co-transfected with the pRL-SV40 vector (0.05 µg) encoding the Renilla luciferase gene.

The adjusted R2 penalises the normal R2 if non-significant parameters are included in the model, which in this case shows that the correct variables were included in the model to explain the variability in freeze point, and the model did not contain unnecessary parameters.

The adjusted (R^{2}) penalises the normal (R^{2}) if non-significant parameters are included in the model, which in this case shows that the correct variables and effects have been included in the model to explain the variability in viscosity, and the model is not over parametrized [12].

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