Everything is related with every other thing, and this relation involves the emergence of a relational quality. The qualities cannot be known a priori, though a good number of them can be deduced from certain fundamental characteristics.
(Jaina Philosophy)
The Jaina Philosophy of Non-Absolutism, by Mookerjee and Mahalanobis (1957)
Welcome!
The purpose of this course is to introduce various topics that make use of multivariate statistical methods. The course aims to:
- enable the student to use vectors and matrix algebra to express multivariate problems, and interpret transformations and solutions.
- understand application of multivariate methods to hierarchical settings and longitudinal analysis, and the its relationship with mixed models.
- identify the basic elements of simultaneous variation in problems for principal component analysis, factor analysis, latent growth models, discriminent analysis, item analysis, seemingly unrelated regression, and small area analysis.
Upon completion of this course, the student should understand the basic
principals of co-variation, and be able to use multivariable methods in
different settings.
