This unit presents the foundations of the modern science of statistics. It gives in-depth coverage of key statistical concepts (models, estimation, likelihood, inference), mathematical tools (distributions, transforms, asymptotics, expansions) and statistical methodology (estimators, regression, linear models, analysis of variance). It deals with techniques of probability modelling and statistical inference based on the use of likelihood theory for estimation and hypothesis testing. -- Course Website
Instructor: Associate Professor Berwin Turlach
Prerequisites: STAT2061 Probability and Mathematical Statistics
