Sentence examples for work regression from inspiring English sources

Therefore, in the present work regression analysis was carried out on their experimental data points of τ f and compressive strength of FRC (f c) (Rao and Rao 2009; Boulekbache et al. 2012).

In this work, regression analysis was used to determine how cell signaling correlates with castration resistant growth across three cell lines.

For each bootstrap, the estimators (e.g. mean, variance, or, as in the case of the current work, regression parameters) are calculated, and with sufficient number of resampled data sets, relevant statistical information, including confidence intervals, can be estimated [ 26, 33].

In this work, regression analysis to the phosphoproteome was used to illustrate the sources of castration resistance between the cell lines including reduced p-Erk signaling in MDA-PCa-2b and variations in p-JNK across the cell lines, as well as studying the signaling pathways which androgen acts through, and determining the response to treatment with targeted inhibitors.

These tables report the coefficients of BMI in hours of work regressions for women (panels A, B, and C) and men (panels D, E, F) using three techniques: OLS, IV (the instrumental variable being same-sex sibling BMI), and sibling FE (fixed effects).

In our hours worked regressions, following the previous literature, we exclude respondents who worked 250 h or less in the previous year.

In our present work, Deming regression analysis yielded the appropriate y-intercept value of zero for both tests but the slope of the regression line did not approximate unity, suggesting that, in addition to the presence of a small constant bias, a small (and nonsignificant) proportional difference existed between the test results obtained upon use of the two tube types [ 17].

The Random Forest (RF) machine learning method can be used either for classification or, as in the present work, for regression [51, 52].

In this work, simple regression analysis is used to assess the relative impact of nitrogen concentrations and temperatures as variables on lipid and triglyceride production in N. salina.

In this work, robust regression (RR) is used for calibration transfer between two electronic nose systems using a Box Behnken (BB) design.

In addition, the decision trees used in the random forest in Lombardo et al.'s work are regression trees, whilst in our work we used instead model trees, which had somewhat better predictive accuracy in our preliminary experiments.