This unit establishes a solid foundation for 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).<br/><br/>The unit deals with techniques of probability modelling and statistical inference based on the use of likelihood theory for estimation and hypothesis testing. Topics include distribution theory (key probability distributions for applications, including Poisson and Normal distributions and related distributions, generating functions and other... -- Course Website
Instructor: Associate Professor Berwin Turlach
Prerequisites: MATH2209 Calculus and Probability or (MATH1010 Calculus and Linear Algebra and MATH1020 Calculus, Statistics and Probability and FINA2205 Quantitative Methods for Finance)
