Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject is not offered in 2012.
|Time Commitment:||Contact Hours: 36 hours comprising two 1-hour lectures per week and one 1-hour practice class per week. |
Total Time Commitment:
3 contact hours and 7 hours private study per week.
Both of the following, or equivalent:
Study Period Commencement:
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|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/
Dr Guoqi Qian
Modern statistics is a blend of statistical theory and computational techniques. The understanding and application of modern statistical techniques such as the bootstrap, nonparametric density estimation, nonparametric and semiparametric regression, additive models, tree based methods, and Markov chain Monte Carlo methods require the development of their theoretical properties, as well as development of suitable algorithms. In this course the emphasis will be on theory behind these techniques, and on how well they perform in both statistical research and applications.
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 3-hour written examination (80%, in the examination period).
|Prescribed Texts:|| |
A.C. Davison & D.V. Hinkley. Bootstrap Methods and their Application, Cambridge UP, Cambridge (1997).
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
Master of Operations Research and Management Science |
Master of Science (Mathematics and Statistics)
Mathematics and Statistics |
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