Sentence examples for multivariate statistical approaches from inspiring English sources
The predictive modeling process involves remotely sensed imagery, Geographic Information System (GIS) data and techniques, and multivariate statistical approaches.
Despite the fact that some collateral responses are conserved across different strains and mechanisms of resistance, our multivariate statistical approaches show overall that mechanism of resistance is the key predictor of CS and CR variability.
Multivariate statistical approaches were used to investigate the extent to which genetic (strain) background, resistance group, the putative mechanism of resistance (in particular efflux-related mutations), growth rate, and the fitness cost of resistance explain the variation in collateral responses.
The application of different multivariate statistical approaches for the interpretation of a large and complex data matrix obtained during a monitoring program of surface waters in Northern Greece is presented in this study.
Application of different multivariate statistical approaches for the interpretation of data obtained during a monitoring programme of surface and groundwater in Patancheru industrial town near Hyderabad Indiaa) is presented in this study.
Here, we capitalize on multivariate statistical approaches and computational modeling to directly evaluate these theoretical perspectives.
Another novelty is the growing application of the multivariate statistical approach (experimental design) to optimize the extraction conditions.
Correspondence analysis, a commonly used multivariate statistical approach, was carried out to analyze synonymous codon usage bias.
The experimental procedure was optimized using a multivariate statistical approach and the final analyses were carried out by GC μECD.
The sequential multivariate statistical approach unpacked and quantified the effects of inter-dependent ecological, management and landform drivers on the two important soil chemical properties (SOC and TN).
Moreover, multivariate statistical approach is adopted to mine the spatial variations of runoff metrics so as to further identify critical impact factors of landuse changes.
