Sentence examples for multivariate approaches of from inspiring English sources

This paper introduces a multivariogram approach to process sampling and compares it with the classical univariate and multivariate approaches of variograms as applied to principal component analysis (PCA) scores.

This last result is in agreement with the results derived from application of the multivariate approaches of [ 2] (p-value = 0.0659) and of [ 8] (p-value = 0.0037).

To determine whether reproductive and non-reproductive age group women have an association with poor glycemic control, both univariate and multivariate approaches of logistic regression were applied.

Both univariate and multivariate approaches of logistic regression were applied to determine whether reproductive age women have an association with poor glycemic control.

Even if not directly comparable, this last result is in agreement with the results derived from application of the multivariate approaches of [ 2] (p-value = 0.0008) and of [ 8] (p-value < 0.0001).

The variables influencing the derivatization reaction were reliably optimized by the multivariate approach of "Experimental design".

The variables affecting the efficiency of SPME analysis were optimized by the multivariate approach of "Experimental design" and, in particular, a central composite design (CCD) was applied.

The variables affecting the efficiency of SPME analysis were again optimized by the multivariate approach of "Experimental design" and, in particular, a central composite design (CCD) was applied.

The variables affecting the performance of SPME analysis were optimized by the multivariate approach of experimental design and, in particular, using a central composite design (CCD).

The multivariate approach of experimental design was crucial in order to optimize derivatization reaction, SPME process and tandem mass spectrometry parameters.

Pre-saccharification and simultaneous saccharification and fermentation of residual lignocellulosic feedstock Phragmites Australis was assessed and optimized via the multivariate approach of Design of Experiments and Response Surface Methodology.