Whenever you have a problem with more than two variables ... binary outcome, or choice, in this case, is just "sale or no-sale" or, in some cases, "Brand A or Brand B." Discriminant function ...

Canonical correlation analysis (CCA) and other multivariate techniques MANOVA is one of a group of techniques called multivariate statistical methods. “Multivariate” refers to multiple outcome ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

Monte Carlo analysis ... picture of risk. Multivariate models—like the Monte Carlo model—are popular statistical tools that use multiple variables to forecast possible outcomes.

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data ... of the methods in order to implement and interpret the outcomes of multivariate ...