STAT 331 |
CRN 1796, 24 Points (2009 2/3) |
Coordinator: |
AProf Ivy Liu
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Lecturer: |
A/Prof Megan Clark
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Prerequisites: |
MATH 206, 207, STAT 231 |
Lectures: |
tba timetable |
Tutorials: |
1 hour per week, to be arranged |
Assignments: |
Weekly |
Assessment: |
30% projects, 70% final exam |
Recommended Reading: |
Mood, Graybill and Boes, Introduction to the Theory of Statistics, 3rd Ed.; Weisberg, Applied Linear Regression, 2nd Ed.; Graybill, Theory and Application of the Linear Model, Duxbury Press, 1976. |
Prescription: |
Distribution and sampling theory; statistical inference; linear statistical models, including simple design of experiments. |
Description: |
Topics will be chosen from: distribution theory; estimation including minimum variance unbiased estimators and notion of sufficiency; hypothesis testing; theory of the multivariate normal distribution; linear statistical models: theory and applications, including multiple regression techniques and the design and analysis of simple experiments. The statistical packages R or S-Plus will be used. |
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