A depth-based method allows ordering multivariate datasets, enabling valuable analysis methods to everything from bacteria movement to stock trades.

Multivariate statistical inference encompasses techniques for analysing and drawing conclusions from data in which multiple interrelated variables are observed simultaneously. Unlike univariate ...

The goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T 2, etc. We’ll try to motivate ...

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 ...

The multivariate statistical inferences discussed in Chap. 3 can only conduct comparative study for up to two multivariate populations. In Example 3.7, we compared the impact-absorbing qualities for ...