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

Multiple regression analysis -- Advanced diagnostics for multiple regression analysis -- Multiple discriminant analysis and logistic regression -- Multivariate analysis of variance -- Conjoint ...

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 ...

British Journal of Cancer - Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods ...

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 ...

The relationship among the responses is difficult to explore when the number of response options, J, is large. The authors propose a multivariate binomial probit model for analyzing multiple response ...

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 ...

Understanding one of the most important types of data analysis.

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!