Examples of 'multivariate data' in a sentence
Meaning of "multivariate data"
Multivariate data refers to a type of statistical data that involves multiple variables or factors. It includes data sets or observations that contain more than one characteristic or measurement for each unit or individual. Multivariate data analysis techniques are utilized to analyze the relationships, dependencies, and patterns among the different variables, enabling a deeper understanding of complex phenomena and facilitating informed decision-making
How to use "multivariate data" in a sentence
Basic
Advanced
multivariate data
Data analyses and multivariate data analyses.
On invariant coordinate selection and nonparametric analysis of multivariate data.
Univariate and multivariate data.
Multivariate data set.
It is also a tool for looking at multivariate data.
Multivariate data analysis as a tool in advanced quality monitoring in the food production chain.
This thesis concerns the analysis of multivariate data.
Data were analysed using multivariate data analyses and path analyses.
Learning linear dependency trees from multivariate data.
This multivariate data set requires the design of new dedicated image processing techniques.
Mass function derivation and combination in multivariate data spaces.
In this study, multivariate data analysis is applied to enhance measurements of an X-ray analyser.
Another statistical distribution approach to visualize multivariate data is parallel coordinates.
The SIMCA multivariate data analysis provided insight into ferromagnetic B-site ordered double perovskites.
Advances in variable selection and visualization methods for analysis of multivariate data.
See also
This example shows how to visualize multivariate data using various statistical plots.
There are several techniques that aid in the interpretation and analysis of multivariate data.
Data processing and multivariate data analysis,.
The experiments involved in this characterization generate large amounts of heterogenous and multivariate data.
As an alternative, variations of multivariate data analysis could also have been used.
The perceptual maps obtained using multidimensional scaling represent a powerful statistical tool for multivariate data analysis.
You are reviewing, Multivariate data analysis.
QualStat is the first statistical software package designed for multivariate data analysis.
Multivariate Data Analysis ( MVA ) MVA was performed in several software environments.
Statistical analyses included multiple univariate and multivariate data analysis techniques.
Why multivariate data analysis?
Combined evaluation of all ASO tissue responses could be achieved using appropriate multivariate data analysis.
Multivariate data analysis applied factor analysis, cluster analysis ( hierarchical and k-means ) and manova.
We apply a HPLC-Q-ToF metabolomic approach followed by multivariate data analysis.
Chapter 6, Visualization of multivariate data Dimensionality reduction.
Parallel coordinates are a common way of visualizing high-dimensional geometry and analyzing multivariate data.
Pre-processing is essential to analyze the multivariate data sets before data mining.
Applied Multivariate Analysis, introductory and advanced training in the applied analysis of multivariate data.
Chernoff faces, invented by Herman Chernoff, display multivariate data in the shape of a human face.
In addition, numerous real-life applications involve multivariate data.
The Multidimensional Scaling procedure is designed to display multivariate data in a low-dimensional space.
Principal Component Analysis ( PCA ) is one of the most frequently used multivariate data analysis.
Shearlets, Multiscale analysis for multivariate data.
You'll also be interested in:
Examples of using Data
Show more
Select the data to display on that line
There is also evidence based on modelling data
Data on these populations are often not available
Examples of using Multivariate
Show more
It does not engage in multivariate analysis or extensive interpretation
Multivariate analysis was performed by means of logistic regression
To answer this question a multivariate analysis was performed
