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 ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

The course on 'Statistical Techniques for Monitoring Industrial Processes' covers the mainstream univariate and multivariate statistical techniques that have proven useful over the years for health ...

This postgraduate course in Statistics and Sustainability will provide students with a wide range of modelling, computing, and statistical skills. They will study a variety of sustainability topics ...

The goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T 2, etc. We’ll try to motivate ...

The emphasis is on statistical thinking rather than mathematical techniques, consequently statistical or mathematical theory are not discussed. The conceptual basis of the methods is emphasised; the ...

This course is compulsory on the BSc in Financial Mathematics and Statistics. This course is available on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Data ...

This course is compulsory on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Financial Mathematics and Statistics and BSc in Mathematics, Statistics and Business ...

Finite sample breakdown points are obtained for two classes of projection based multivariate location and scatter statistics: the Stahel-Donoho statistics and the Maronna-Yohai statistics. The ...

In this work, we investigate the asymptotic behavior of the extremes of a multivariate data by using the Reduced Ordering Principle (R-ordering). When, the sup-norm is used, we reveal the ...