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 ...

In addition, a selection from the following topics will be covered: cluster analysis, correspondence analysis, multidimensional scaling, latent ... (2008) Analysis of Multivariate Social Science Data ...

Multivariate analysis uses statistical tools such as multiple regression analysis, cluster analysis and conjoint analysis to determine the relationships between factors.

2 Choose among several measures of distance or dissimilarity by virtue of their conceptual properties, and apply them in a cluster analysis using computer software. 3 Produce visualisations of ...

You are invited to attend the following M.A.Sc. (Quality Systems Engineering) thesis examination. We have designed and implemented a finite mixture model, using the scaled Dirichlet distribution for ...

Multivariate data analysis (MVDA) is being used to effectively handle complex datasets generated by process analytical technology (PAT) in biopharmaceutical process development and manufacturing. From ...

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 ...

An introduction to the application of modern multivariate methods used in the social sciences, with particular focus on latent variable models (including factor analysis, structural equation models, ...