Computational Statistics - STAT521 (2017)

This paper covers maximum likelihood estimation, and the fitting of

advanced regression models including non-linear models, mixture models and their generalisations. It will take a practical approach stressing the use of R packages and WinBugs or OpenBugs Bayesian software.

Paper Information

Points: 30.0
Prerequisite(s): STAT321, or three other 300 level Statistics papers, and at the discretion of the Chairperson of Department
Internal assessment / examination: 1:0

Trimesters and Locations

Occurrence Code When taught Where taught
17A (HAM)A Trimester : 27 Feb 2017 - 25 Jun 2017 Hamilton

Timetabled Lectures

The Timetable for 2017 is not available.


Indicative Fees for Computational Statistics (STAT521)

Occurrence Domestic International
 Tuition Resource 
17A (HAM) $1861 $0 $7173
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines for Computational Statistics (STAT521)

The following paper outlines are available for Computational Statistics (STAT521).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Statistics

Other available years: Computational Statistics - STAT521 (2018)

Paper details current as of : 20 March 2020 8:55am
Indicative fees current as of : 31 January 2020 4:26pm

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