Thus, added lubrication fraction and adopted multivariate methodology should be selected carefully during the calibration and validation stages as it may have a significant impact on the predictability of the developed models.
The optimization step was performed using a univariate methodology for 200 mg samples and a multivariate methodology, using the Box-Behnken design, for other variables, such as solvent (HNO3:HCl), final concentration (1.7 mol L−1) and time (26 min).
To solve this problem, a multivariate methodology that was originally developed in the field of geosciences, was proposed.
The proposed multivariate methodology, focused on the bivariate case, is applied to a case study located in Spain by using hydrograph volume and flood peak observed series.
Multivariate methodology was employed for finding optimum remediation conditions for electrodialytic remediation of harbour sediment from an Arctic location in Norway.
The properties of biomorphic ceramics depend decisively on the synthesis parameters, that were optimized using a multivariate methodology for the design of experiments.
In the present article the synthesis as well as the decomposition of these materials is optimized using a multivariate methodology for the design of experiments.
2010) in the ADEGENET package (Jombart 2008) for R. As a multivariate methodology that does not make assumptions of HWE or linkage disequilibrium, DAPC first transforms the genotypic data into principal components and then uses discriminant analysis to maximize differentiation among predefined groups (here sampling locations).
This methodology is termed simultaneous nearest neighbours (henceforth) and avoids the problems that frequently occur with non-parametric multivariate methodologies, like the curse of dimensionality, which makes it necessary to use huge amounts of data to estimate the parameters of multivariate models (see Hastie et al. 2001).
Here, we illustrate the advantages of biomarker discovery procedures in muscle ageing based on multivariate methodologies as an alternative approach to traditional single-marker strategies.
