This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

Course TopicsMultivariate 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 ...

The stepwise testing methods of multivariate analysis of variance are here extended to apply to the linear combinations of variables resulting from a principal component analysis. The required ...

This distance is plotted as a time trend and control limits are applied to help engineers find abnormal data. Case study: Multivariate monitoring for manufacturers Here is a real-world example of ...

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

Multivariate Analysis This course teaches methods to understand patterns and structures inherent in data sets containing many variables. The fundamentals of data visualisation, clustering, and ...

A common objective in exploratory multivariate analysis is to identify a subset of the variables which conveys the main features of the whole sample. Analysis of a well-known multivariate data set ...