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.
|Prerequisite(s):||STAT321, or three other 300 level Statistics papers, and at the discretion of the Chairperson of Department|
|Internal assessment / examination:||1:0|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|17A (HAM)||A Semester : 27 Feb 2017 - 25 Jun 2017||Hamilton|
The Timetable for 2017 is not available.
Indicative Fees for Computational Statistics (STAT521)
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.
Available Subjects: Statistics
Other available years: Computational Statistics - STAT521 (2018)
Paper details current as of : 18 February 2020 4:25pm
Indicative fees current as of : 31 January 2020 4:26pm