Principles of Modeling, Multivariate Statistics

Objectives

At the end of this course, students should be able to select a model based on a dataset and a problem, apply multivariate exploratory analysis methods and certain classification methods, and interpret and present results for discussion with non-statisticians.

Course outline

Principle of model construction (linear and logistic regression)

Model validation and predictive capability

Factor analysis

Classification methods (geometric and probabilistic)

Prerequisites

Not indicated