Note: This is an archived Handbook entry from 2011.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2011:Semester 1, Parkville - Taught on campus.
Lectures and computer laboratory 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 computer laboratory class per week |
Total Time Commitment: Estimated total time commitment of 120 hours
Study Period Commencement:
Plus one of
Study Period Commencement:
Summer Term, Semester 1, Semester 2
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||
Students may only gain credit for one of
|Core Participation Requirements:||For the purposes of considering request 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 of 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/
CoordinatorDr Owen Jones
Third Year Coordinator
Linear models are central to the theory and practice of modern statistics. They are used to model a response as a linear combination of explanatory variables and are the most widely used statistical models in practice. Starting with examples from a range of application areas this subject develops an elegant unified theory that includes the estimation of model parameters, quadratic forms, hypothesis testing using analysis of variance, model selection, diagnostics on model assumptions, and prediction. Both full rank models and models that are not of full rank are considered. The theory is illustrated using common models and experimental designs.
On completion of this subject students should be able to
Two or three written assignments due at regular intervals during semester amounting to a total of up to 50 pages (20%), and a 3-hour written examination in the examination period (80%).
|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 |
Environmental Science |
Mathematics and Statistics Major
Science credit subjects* for pre-2008 BSc, BASc and combined degree science courses
Statistics / Stochastic Processes (specialisation of Mathematics and Statistics major)
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