Department of Statistics
STATS 762 Statistical Modelling
Below description edited in year: 2013
Prereqs: 15 points from STATS 201, 207, 208 or B+ in BIOSCI 209
Restrictions: STATS 330
Credit: Final exam 60%, tests 20%, assignments 20%
For Advice: Arden Miller (Email: a.miller@auckland.ac.nz | extn: 85053)
Taught: Second Semester City
Website: STATS 762 website
This course includes the material in STATS 330. It is intended for postgraduate students who have not already passed STATS 330.
STATS 762 is an extended version of STATS 330. The main emphasis of this course is on analysing data using extensions of the regression methods seen in STATS 201/7/8. These extensions permit, for example, the building of models for response variables which are not continuous. The main statistical computer package used is R. Students from STATS 210 who have not taken STATS 201/7/8 will need to do some preparatory reading. It is very useful for almost all subjects in Business and Economics, for Operations Research, for any experimental or social science. It is also a useful complement to Computer Science.
Topics studied include: Application of the generalised linear model to fit data arising from a wide range of sources, including multiple linear regression models, log-linear models and logistic regression models. The graphical exploration of data.
Disclaimer:
Although every reasonable effort is made to ensure accuracy, this information for the course year (2013), is provided as a general guide only for students and is subject to alteration.
All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.