Sentence examples for refined variables from inspiring English sources

BeerOz also contains routines to study the n-dimensional solution space, in order to provide realistic estimates of errors and test for the existence of multiple local minima and correlation between the different refined variables.

By carrying out the refinement of the in situ high-temperature XRD data according to the designed uniform refining strategy, we analyzed the influences of the refined variables on the analytical results such as the phase fraction and the residuals.

For milling time larger than 20 h, as the diffraction peaks of both AB3 and LaNi5 phases are broad and sometimes overlapped, the cell parameters of the LaNi5 phase were kept fixed in order to limit the number of refined variables.

When ORs and 95% CIs were adjusted for more refined variables for age (≤50, 50 60, 60 70, > 70 years) and smoking status (never, ex-smoker, current smoker) we obtained similar results.

The proposed refined instrumental variable algorithm achieves minimum variance estimation of the process model parameters.

Moreover, a new optimal refined instrumental variable technique is developed to handle the identification of a linear (ARX) predictor combined with an ARMA noise model in a closed-loop framework.

Expert interviews were conducted with fifteen (15) drilling and safety experts to refine the variables specific to onshore gas drilling operations.

To determine the predictive potential of the compounds, these models were evaluated using leave-one-out cross-validation to assess the predictive performance of these models and to further refine the variables included in prediction analyses.

The PERCH study protocol included >50 clinical and laboratory variables, refined by PMWG review, which will be obtained on admission from every child.

The associated background variables refined this finding and one conclusion is that, to optimise outcome when planning the prevention, treatment and management of these disorders, people's attitudes should be taken into account.

To evaluate the predictive potential of these variables, the models were evaluated using cross-validation to assess the predictive performance of the models and further refine the variable included in a prediction analysis, so that the resulting models were evaluated on the testing data, as opposed to the training data.