MIST.7370 — Online and Continuing Education Id: 038569 Offering: 2 Credits: 3-3 Description This course introduces statistical methods and techniques for multivariate data analysis. The course studies ...

Multivariate data analysis can be complex and time consuming, especially when drawing insights from large datasets, and Mona says its new exploratory tool is designed to streamline and simplify this ...

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.

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

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 ...

We propose a procedure for the detection of multiple outliers in multivariate data. Let X be an n × p data matrix representing n observations on p variates. We first order the n observations, using an ...

Proceeding from the idea of Chernoff (1971, 1973) of representing multivariate data by faces, a new face is proposed in which the face parameters of the left and the right side can be varied ...

To begin the program, you will take our Data Analysis Workflow class. Then you’ll have the opportunity to choose from a variety of courses, including Multivariate Statistics, Longitudinal Data ...