Further information: Modern Applied Statistics (MAST30027)

Further information

Texts
Prescribed texts
Recommended texts and other resources
- Faraway, Extending the Linear Model, R. Chapman & Hall, 2006.
- McCullagh & Nelder, Generalised Linear Models, 2nd edition. Chapman & Hall, 1989.
- Jones, Maillardet & Robinson, Introduction to Scientific Programming and Simulation Using R, 2nd Edition, Taylor and Francis, 2014.
- Gelman, Carlin, Stern, Dunson, Vehtari & Rubin, Bayesian Data Analysis, 3rd Edition, CRC Press, 2014.
- Lunn, Jackson, Best, Thomas & Spiegelhalter, The BUGS Book: A Practical Introduction to Bayesian Analysis, CRC Press, 2013.
Subject notes
This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.

Related Handbook entries

This subject contributes to the following:

Type	Name
Major	Statistics / Stochastic Processes
Informal specialisation	Statistics / Stochastic Processes
Informal specialisation	Statistics / Stochastic Processes
Informal specialisation	Science Discipline subjects - new generation B-SCI
Major	Data Science
Informal specialisation	Statistics / Stochastic Processes specialisation

Breadth options
This subject is available as breadth in the following courses:
Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

Last updated: 19 September 2024