ETC5580 Advanced statistical modelling
Faculty of Business and Economics
ETC5580 Advanced statistical modelling is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2023 in Semester 1 at Clayton. It needs ETW2510, ETC5242, ETF2100, ETC5256, ETC2410, ETF5910, ETC2420 or ETC3440.
- Credit points
- 6
- Offered in 2023
- Semester 1
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETC5580
Prerequisites
Pass these before you enrol.
- ETW2510Introduction to econometricsNo reviews yet
- ETC5242Statistical thinkingNo reviews yet
- ETF2100Introductory econometricsNo reviews yet
- ETC5256Statistical modelling for actuarial studiesNo reviews yet
- ETC2410Introductory econometricsNo reviews yet
- ETF5910Introductory applied econometricsNo reviews yet
- ETC2420Statistical thinkingNo reviews yet
- ETC3440Introductory econometricsNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETC5580
No unit lists ETC5580 as a prerequisite in the 2023 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
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.
Offerings in 2023
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Within semester assessment40%
- Examination60%
Learning outcomes
When you finish this unit, you should be able 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.
Workload and teaching
- Tutorials18 hours
- Lectures24 hours
- Teaching approachActive learning
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.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Contacts
- Chief Examiners
- Dr Didier Nibbering
Common questions
What are the prerequisites for ETC5580?
You need ETW2510, ETC5242, ETF2100, ETC5256, ETC2410, ETF5910, ETC2420 or ETC3440 before you enrol.
When is ETC5580 offered?
In 2023, ETC5580 runs in Semester 1 at Clayton.
How much work is ETC5580?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC5580 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.