Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used for several ...

Large, multivariate datasets from high-throughput instrumentation have become ubiquitous in the sciences. Frequently, it is of interest to characterize the measurements in these datasets by the extent ...

This article presents a method for visualization of multivariate functions. The method is based on a tree structure--called the level set tree--built from separated parts of level sets of a function.

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...