ETC3580 - Advanced statistical modelling - 2017

6 points, SCA Band 3, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics


Professor Rob Hyndman

Unit guides



  • Second semester 2017 (Day)


This unit introduces extensions of linear regression models for handling a wide variety of data analysis problems. Three extensions will be considered: generalised linear models for handling counts and binary data; mixed-effect models for handling data with a grouped or hierarchical structure; and non-parametric regression for handling non-linear relationships. All computing will be conducted using R.


The learning goals associated with this unit are to:

  1. provide an understanding of statistical models for handling common data analysis problems
  2. develop skills for fitting, interpreting and assessing statistical models
  3. develop computer skills for exploring and modelling different kinds of data.


Within semester assessment: 40% + Examination: 60%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information

Chief examiner(s)


Students must have completed one of the following units: ETC2410, ETC3440 or ETC2420.