Sentence examples for multivariate statistical assessments from inspiring English sources

In spite of this inter-individual variability, the behavioral measure of contact time and the multivariate statistical assessments considering the lesion extent in volume clearly demonstrate that anti-Nogo-A antibody treatment indeed promoted functional recovery from spinal cord lesion in primates.

This study presents an in-depth, multivariate, statistical assessment of the differences in the staling process of white wheat bread as a function of storage time, usage of maltogenic α-amylases and spatial position in the loaf by texture measurements and non-linear fitting (Avrami).

This study presents the necessity and usefulness of multivariate statistical assessment of large and complex databases in order to get better information about the quality of surface water, the design of sampling and analytical protocols and the effective pollution control/management of the surface waters.

However, a thorough multivariate statistical assessment that captures the complexity of broad global fire-environment relationships has yet to be undertaken.

Recently, multivariate statistical technique for hydrogeochemical assessment of groundwater has been applied with remarkable success as a tool in the study of groundwater chemistry.

The application of multivariate statistical technique for groundwater assessment within the Lower Pra Basin have shown that, correlation matrix of major ions revealed expected process-based relationships derived mainly from the geochemical processes, such as ion exchange and silicate/aluminosilicate weathering within the aquifer.

Both univariate descriptive statistics and multivariate statistical techniques were employed for the analysis of data.

Therefore, the approaches of meteorological data monitoring, hydrological modelling (Soil and Water Assessment Tool) and multivariate statistical analysis of long-term data were integrated.

Predefined risk factors and risk indicators were extracted from different national databases and combined in a multivariate statistical process control to obtain a risk assessment for each herd.

Multivariate statistical analysis is a useful tool for the assessment of the water quality where a lot of variables are responsible for influencing the water quality.

Multivariate statistical technique and hydrogeochemical approach were employed for groundwater assessment within the Lower Pra Basin.