Useful links
Unit of study_
STAT5611: Statistical Methodology
2023 unit information
The great power of the discipline of Statistics is the possibility to make inferences concerning a large population based on only observing a relatively small sample from it. Of course, this "magic" does not come without a price, we must construct statistical models to approximate these populations and samples from them, develop mathematical tools using probability theory, appreciate the limitations of our methods and, most importantly, understand what assumptions need to be made for such inferences to be valid, and develop ways to check these assumptions. Implementing these methods to possibly complex data structures is also a challenge that must be overcome. This unit explores advanced topics in statistical methodology examining both theoretical foundations and details of implementation to applications. The unit is made up of distinct modules that may include (but are not restricted to) advanced survival analysis, extreme value theory and statistical methods in bioinformatics.
Unit details and rules
Managing faculty or University school:
Mathematics and Statistics Academic Operations
| Code | STAT5611 |
|---|---|
| Academic unit | Mathematics and Statistics Academic Operations |
| Credit points | 6 |
|
Prerequisites:
?
|
None |
|---|---|
|
Corequisites:
?
|
None |
| Prohibitions:
?
|
None |
| Assumed knowledge:
?
|
Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information. |
At the completion of this unit, you should be able to:
- LO1. Demonstrate a coherent and advanced understanding of key concepts in statistical methodology.
- LO2. Apply fundamental principles and results in statistics to solve given problems.
- LO3. Distinguish and compare the properties of different types of statistical models and statistical methods applicable to them.
- LO4. Identify assumptions required for various statistical methods to be valid and devise methods for testing these assumptions.
- LO5. Devise statistical solutions to complex problems.
- LO6. Compose correct proofs of unfamiliar general results in statistical methodology.
- LO7. Communicate coherent mathematical arguments appropriately to student and expert audiences, both orally and through written work.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
There are no availabilities for this year.
Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
