Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 1, Parkville - Taught on campus.
Lectures and practice classes.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 3 x one hour lectures per week, 1 x one hour practice class per week |
Total Time Commitment: Estimated total time commitment of 120 hours
|Prerequisites:|| One of |
and one of
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.|
CoordinatorProf Konstantin Borovkov
Third Year Coordinator
This subject presents a measure-theoretic approach to probability theory, its fundamental concepts and results. It also demonstrates how the theory relates to the key ideas of mathematical statistics, explaining why one is able to make meaningful statistical inference from data and how to apply probability theory to analysing the properties of statistical procedures.
Topics covered include: probability spaces and random variables, conditional expectations and sufficient statistics, modes of convergence in probability theory, characteristic functions and key limit theorems, large sample theory and analysis of the maximum likelihood estimators.
On completion of this subject students should:
Ten written assignments due at weekly intervals during semester amounting to a total of up to 50 pages (20%), and a 3-hour written examination in the examination period (80%).
|Recommended Texts:|| |
A.F. Karr, Probability, 1st Ed. Springer, New York, 1993.
|Breadth Options:|| |
This subject potentially can be taken as a breadth subject component for the following courses:
You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.
|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:
|Notes:||This subject is available for science credit to students enrolled in the BSc (both pre-2008 and new degrees), BASc or a combined BSc course.|
Bachelor of Science |
Mathematics and Statistics (Statistics specialisation) |
Statistics / Stochastic Processes
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