Sentence examples for multivariate techniques to from inspiring English sources
Emphasis is placed on practical application of multivariate techniques to a variety of natural and social examples in the environmental sciences.
Assessment of factors influencing woodland vegetation composition across Britain was made using multivariate techniques to analyse data gathered during the 1971 National Woodland Survey.
In this paper, we expand on the recent use of multivariate techniques to study the cross-correlation dynamics between electroencephalographic (EEG) channels.
Seed bank data were analyzed with ANOVA and several multivariate techniques to determine the effect of pesticide seed treatments on seed bank density, diversity, and species composition.
This research presents the use of experimental design, optimization and multivariate techniques to investigate the root-cause of agglomerates containing two drugs [i.e. racecadotril (RCD) and loperamide hydrochloride (LPM ].
This paper presents the use of experimental design, optimization and multivariate techniques to investigate root-cause of tablet dissolution shift (slow-down) upon stability and develop control strategies for a drug product during formulation and process development.
Factorial design has been applied as a multivariate technique to analyze the effect of wave function and layer selection on solid state 13C and 15N chemical shifts calculations.
Other than these univariate measures, recursive feature elimination is also applied as a multivariate technique to select voxels [10], but the interactions among voxels are not clear yet.
We used a novel approach with a multivariate technique to analyze brain resting state [18 F]FDG-PET in patients with lymphoma, to explore differences on cerebral metabolic glucose rate between chemotherapy-treated and non-treated patients.
The sPLS-DA is a supervised, multivariate technique to determine metabolic groups associated with disease risk.
We will use the multivariate technique to adjust for possible differences in baseline scores and background variables between the intervention and control groups.
