Catalog : MIST.7370 Multivariate Statistical Methods (Formerly 63.737, MIST 737) Id: 038569 Credits Min: 3 Credits Max: 3 Description This course introduces statistical methods and techniques for ...

Course TopicsThe goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T2, etc. We’ll try to ...

Multivariate Clustering Analysis in R Course Topics Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration.

An introduction to the theory and application of modern multivariate methods used in the Social Sciences: Multivariate normal distribution, principal components analysis, factor analysis, latent ...

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...

Topics include counting techniques, discrete and continuous univariate and multivariate random variables & common distributions, probability, expectation, variance, confidence intervals, the Central ...

An introduction to the theory and application of modern multivariate methods used in the Social Sciences: Principal components analysis, factor analysis, latent variable models, multivariate normal ...