Yancy D. Edwards, Greg M. Allenby, Multivariate Analysis of Multiple Response Data, Journal of Marketing Research, Vol. 40, No. 3 (Aug., 2003), pp. 321-334 ...

Statistics are often viewed as confusing and complicated, but multivariate data analysis (MVA) methods can be used to amass knowledge simply.

The primary goal of this short course is to help researchers with multivariate data better visualize and understand their data using multivariate analysis tools. In this course, we will focus on ...

Multivariate longitudinal data are common in medical, industrial, and social science research. However, statistical analysis of such data in the current literature is restricted to linear or ...

For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of ...

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