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 ...

Multivariate analysis of covariance (MANCOVA) is an extension to MANOVA where two or more explanatory variables are compared simultaneously. Canonical correlation analysis (CCA) and other multivariate ...

Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...

For example, a particular investment can be run through scenario analysis in a multivariate model to see how it will impact the whole portfolio return in different market situations, such as a ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...