This unit will introduce the fundamental concepts of analysis of data from both observational studies and experimental designs using classical linear methods, together with concepts of collection of data and design of experiments. You will first consider linear models and regression methods with diagnostics for checking appropriateness of models, looking briefly at robust regression methods. Then you will consider the design and analysis of experiments considering notions of replication, randomization and ideas of factorial designs. Throughout the course you will use the R statistical package to give analyses and graphical displays. This unit is essentially an Advanced version of STAT3012, with additional emphasis on the mathematical techniques underlying applied linear models together with proofs of distribution theory based on vector space methods.
Three 1 hour lectures, one 1 hour tutorial and one 1 hour computer laboratory per week.
2 x assignment (10%), 3 x quizzes (35%), final exam (55%)
STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)]Prohibitions
STAT3912 or STAT3012 or STAT3022