Sentence examples for multivariate analytical method from inspiring English sources

The proposed three-way strategy can be easily designed and executed, obtaining a multivariate analytical method more robust than using a traditional two-way modeling technique.

The study demonstrates that infrared spectroscopy combined with the multivariate analytical method principal component analysis and Gaussian peak fitting is an efficient approach to probing structural change in polymers during heating.

The combination of UV-Vis spectrophotometry with a chemometric calibration tool based on partial least squares (PLS) has allowed us the development of a multivariate analytical method that simultaneously estimates the concentration and size of mixtures of silver nanoparticles (AgNPs) in environmental water samples.

The independent effects of the significant factors, was determined using a multivariate analytical method the Cox's proportional hazard model.

The course aims not only to introduce students to the range of multivariate analytical methods (i.e., factor analysis and structural equation modeling) for answering complex questions but also to introduce students to how these analyses would be carried out so that claims of validity can be established and justified empirically.

In each study site, edaphic and geographic variables were determined, and the bacterial structures were evaluated at the genetic and metabolic levels through fingerprint approaches along with multivariate analytical methods including redundancy (RDA) and variance partitioning (VPA) analyses.

To make inferences and guide decision-making, logical reasoning processes such as multivariate analytical methods can be used (Dawid and Evett 1997).

A central composite design was used for the multivariate optimization of an analytical method for the quantitative determination of methylpyrazines in cocoa liquors using headspace-SPME followed by GC MS.

When we applied univariate and multivariate meta-analytical methods to correlate the observed PG expression patterns with clinically relevant disease outcomes we unveiled striking associations.

Observational studies typically use multivariate analytical approaches, using maximum likelihood based modelling methods to try to adjust estimates of relative risk for these biases.

In recent years, multivariate optimization has played an increasing role in analytical method development.