Sentence examples for use of multiple linear from inspiring English sources

This enables a more effective acoustic impedance matching compared to the use of multiple linear alternators known in the literature.

Data analysis included the use of multiple linear and logistic regressions, which employed the sampling and replicate weights to account for sampling design.

The results indicated that the use of multiple linear regression models within small watershed subdivisions enabled the prediction of soil depth with a difference of 50 cm for 77% of the field observations.

Convergent validity was investigated by (1) inter-test associations using a principal components analysis (PCA) and (2) by analysing associations of tests with potential influencing factors by use of multiple linear regression.

In view of these, in this work, new methods of experimental PD high-frequency current pulses generation and location are proposed, based on, respectively, the realization of small capacitive disturbances along the transformer windings and the use of multiple linear regression models.

By the use of multiple linear regression analysis, prediction models for jugular TPTD parameters were developed.

By contrast, the studies performed by Demir-Kavuk et al. [35], Louis and Agrawal [5], and Zhivkova and Doytchinova [22] focused mainly on using variations of multiple linear regression, without building decision tree models.

Commonly used methods of multiple linear regression are principal component regression (PCR), partial least-squares discriminant analysis (PLS-DA) and partial least squares regression (PLS).

We investigated the relationships between CALUX-TEQs and biomarkers of effect using scatter plots and Spearman's rank correlation (r), and subsequently calculated dose effect relations in individuals by use of multiple-linear regression.

We calculated dose effect relationships between urinary metals and blood pressure, lung function indices, 8-OHdG, and physician-diagnosed asthma, while adjusting for potential a priori selected confounders and/or covariates, by use of multiple-linear regression, or multiple-logistic regression (asthma).

Here, a comparison of the predictive performance was made using four types of multiple linear regression (MLR) and principal component regression (PCR) models in the prediction of chlorophyll-a (chl-a) concentration in the Yeongsan (YS) Reservoir, Korea, an estuarine reservoir that historically suffers from high levels of nutrient input.