The multivariate model is a popular statistical tool that uses multiple variables to forecast possible investment outcomes.

His patent for multivariate transaction classification is just one example of how he’s pushing the boundaries of what’s possible in data science and analytics.

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 ...

Multivariable logistic regression model was used to identify risk factors and stratify patients into high-risk and low-risk groups. A novel ORN classification system was developed to depict ORN ...

In this paper, we incorporate customers' multi-item purchase behavior into the assortment optimization problem. We consider both the uncapacitated and capacitated assortment problems under the ...

This multivariable model was used to develop a nomogram—a weighted tool to calculate 2- and 4-year probability of treatment and estimate median time to first treatment. ... potential interactions ...

S. Das Gupta, Optimum Classification Rules for Classification into Two Multivariate Normal Populations, The Annals of Mathematical Statistics, Vol. 36, No. 4 (Aug., 1965), pp. 1174-1184 ...