The following example employs multivariate analysis of variance (MANOVA) to measure differences in the chemical characteristics of ancient pottery found at four kiln sites in Great Britain. The data ...

Multivariate analysis techniques may be used for several purposes, such as dimension reduction, clustering, or classification. The primary goal of this short course is to help researchers who want to ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

Multivariate data analysis (MVDA) is being used to effectively handle complex datasets generated by process analytical technology ... The authors gave an example of MVDA used in scale-up of a ...

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 ...

1 Compare and contrast multivariate analysis and univariate analysis of complex business data sets.; 2 Explain the limitations and the benefits of large business datasets and their analysis for ...

For example, because portfolio diversification is based on the correlation between assets, any model developed to create expected portfolio values must include the correlation between investments.

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 ...