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Module title:Statistical Inference: Theory and Practice
Module codeMTH3028
Module lecturers:Dr Christopher Ferro
Module credits:15

Statistical models help us to describe and predict the real world, and are used in sectors as diverse as finance, insurance, economics, marketing, pharmaceuticals, sport, environment and government to name only a few. Statistical inference is the way that we use data and other information to learn about and apply our models. This module introduces you to some of the main approaches to statistical inference and explains their associated procedures. It is designed for students who want to understand the ideas and mathematical theory that lie behind many modern statistical methods. The module establishes key theoretical concepts and results alongside explanations of their practical purpose and application. We will use computer simulations to illustrate basic concepts and as a tool for comparing procedures. You will gain practical experience with the methods through a series of worked examples and exercises.

Prerequisite module: MTH2006 Statistical Modelling and Inference or equivalent

Please note that all modules are subject to change, please get in touch if you have any questions about this module.