STA335 Generalised Linear Models (8)

This subject provides an introduction to generalised linear models by an overview of the unified approach dictated by the exponential form of the distribution. This overview is pursued into varied applications in diverse areas which appeared to be previously unconnected.

No offerings have been identified for this subject in 2022.

Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System

HD/FL

Duration

One session

School

School of Information Studies

Assumed Knowledge
STA327

Learning Outcomes

Upon successful completion of this subject, students should:
  • Have a sound appreciation of the role of generalised linear models in the scheme of statistical methodology, as well as the scope of techniques that will have been made available by this new technique;
  • Have the ability to use a computer package to analyse data using the approach that is offered by the theory of generalised linear models.

Syllabus

This subject will cover the following topics:

Exponential Family of Distributions; GLIM computer package; Binary data; Log-Linear models and Poisson Regression; Gamma data.

Residential School

This subject contains a 2 day Optional Residential School.

The information contained in the CSU Handbook was accurate at the date of publication: June 2022. The University reserves the right to vary the information at any time without notice.

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