Computational Statistics - STATS521 (2019)

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 STATS321, or three other 300 level Statistics papers, and at the discretion of the Chairperson of Department
Internal assessment / examination: 100:0
Restriction(s): STAT421, STAT521

Semesters and Locations

Occurrence Code When taught Where taught
19A (HAM)A Semester : 25 Feb 2019 - 23 Jun 2019 Hamilton

Timetabled Lectures for Computational Statistics (STATS521)

Tue4:00 PM5:00 PMG.3.33Feb 25 - Jun 2
Thu3:00 PM4:00 PMG.3.33Feb 25 - Jun 2
Fri4:00 PM5:00 PMG.3.33Feb 25 - Jun 2

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STATS521 for more details

Indicative Fees for Computational Statistics (STATS521)

Occurrence Domestic International
 Tuition Resource 
19A (HAM) $1936 $0 $7524
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 (STATS521)

The following paper outlines are available for Computational Statistics (STATS521).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Data Analytics | Statistics

Paper details current as of : 12 November 2019 11:25am
Indicative fees current as of : 12 November 2019 11:10am

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