multivariate

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Related to Multivariate statistics: multivariate analysis

multivariate

The use of multiple variables in a forecasting model.
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Its functioning draws upon the usage of brand new contemporary means of investigation, among which the following ones can be emphasized as being the most important ones: special technologies of areal dust suppression, protection of underground waters from pollutions, new technologies of hydraulic borehole mining of high-grade iron ores and other technologies, confirmed by patents, complex of methods that uses GIS technologies (pixilated three-dimensional evaluation of mosaic vegetation mantle of spoil heaps), empirical selection of plants, characterized by man-impact tolerance, multivariate statistics, which help visualize the differences in vegetation mantle's formation, as well as to isolate statistical factors that limit its development.
The ability to handle many types of models other than those based on multivariate statistics is also beneficial.
Also available are modules for Time Series Analysis (descriptive methods, smoothing, and forecasting) and Multivariate Statistics (factor analysis, cluster analysis, and discriminant analysis).
Thus, the study of features of distribution of the Oenothera species within the different natura-and-climatic conditions with the use of the multivariate statistics methods allowed distinguishing the active invasive plant species and specifying the factors primarily affecting the distribution processes and formation of the primrose climatic niches.
Stuart Hunter and me), and Multivariate Statistics (with S.
Such data are used for a major investigation into the application of multivariate statistics to the study of trends in contaminants in stocks and forms the basis for Canada's input to international studies on trends in contaminants in commercial fishery stocks in the North Atlantic, an activity coordinated by the International Council for the Exploration of the Sea (ICES) in Copenhagen, Denmark.
An insightful guide to understanding and visualizing multivariate statistics using SAS, STATA, and SPSS
China) explain monitoring and safety and product quality assurance using multivariate statistics.
Specific chapter topics include inferential statistics, simple experimental designs, survey research, factorial designs with more than one factor, multivariate statistics, theory in qualitative research, participant observation, and discourse analysis.
The data was analyzed using multivariate statistics and advanced psychometrics to determine which companies performed significantly better or worse than the competition.
Trochim's procedure uses multivariate statistics to depict visually a group's understanding of a particular phenomenon or issue.
He is an expert in marketing models, multivariate statistics, quantitative methods, and advanced marketing management.

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