Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours comprising one two-hour lecture per week and one one-hour practical class. |
Total Time Commitment: Not available
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
CoordinatorProf Richard Huggins
|Subject Overview:||Classical statistics is concerned with parametric models, which are idealized versions of reality that allow the development of an elegant mathematical theory of inference. Modern Statistics develops methods that weaken the assumptions of these classical methods. In this course we review classical statistical methods and then consider their generalisation using estimating equations. Topics include: Review of Classical Inference. Properties of Maximum Likelihood Estimators. Hypothesis Testing & Model Selection. Generalized Linear Models. Nonparametric function estimation (density + regression). Bootstrap.|
After completing this subject students should gain:
Up to 40 pages of written assignments (20%: two assignments worth 10% each, due mid and late in semester), a three-hour written examination (80%, in the examination period).
Davison, A.C. (2003) Statistical Models.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Upon completion of this subject, students should gain:
Master of Science (Mathematics and Statistics) |
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