|Course code STAT3010||Units 10||Level 3000||Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences|
Why do we use particular statistical techniques, and how do they work? This course covers the theory behind both standard and computationally intensive techniques for investigating and modelling data (estimation and hypothesis testing).
Available in 2014
|Objectives||On successful completion of this course students should be able to :|
1. understand the basic concepts underlying estimation theory and hypothesis testing;
2. explain the underlying assumptions and the applicability of each of the approaches studied;
3. determine appropriate methods for practical inference problems and apply such methods to data.
|Content||- Estimation methods|
- Hypothesis Testing
- Evaluating tests
- Monte Carlo Simulation methods for inference
- Randomisation tests
- Bootstrap methods.
|Assumed Knowledge||STAT2010 - Fundamentals of Statistics |
|Modes of Delivery||Internal Mode|
|Contact Hours||Lecture: for 2 hour(s) per Week for Full Term|
Computer Lab: for 2 hour(s) per Week for Full Term
|Timetables||2014 Course Timetables for STAT3010|