2006 Semester
1
MATH1313: Sequential Analysis
Sequential analysis is a postgraduate course offered to
students enrolled in Master of Applied Science (Statistics and Operations
Research) and also to Graduate Diploma students.
Course Description:
Wald's sequential probability ratio test; average sample number; sequential
tests for composite hypotheses; sequential point and interval estimation;
Stein's two-stage procedure; asymptotic theory for sequential estimation;
multi-stage sequential procedures; sequential bootstrapping. S-PLUS statistical
computing package will be used.
This course is available as a single subject
click here for information.
For more information about the course contact Basil M. de Silva
(desilva@rmit.edu.au)
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2006 Semester
2
MATH2142: Multivariate Analysis
This is a third year course offered to students enrolled in Bachelor
degree programs at RMIT.
Course Description:
The course will cover estimation, hypothesis testing for multivariate populations,
and other multivariate statistical techniques such as principal components analysis,
factor analysis, discriminant analysis and cluster analysis. Skills will be developed
with SAS, a leading statistical analysis software package.
This course is available as a single subject
click here for information.
For more information about the course contact Basil M. de Silva
(desilva@rmit.edu.au)
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MATH2062: Theory of Statistics
This is is a postgraduate course offered to students enrolled
in Master of Applied Science (Statistics and Operations
Research) and also to Graduate Diploma students.
Course Description:
Theory of Statistics is a foundation postgraduate subject which
introduces students to some advanced theoretical aspects of statistical
inferences. It assumes knowledge of basic concepts of Theory of Probability
and basic understanding of statistical methodology. Good working knowledge of
advanced calculus is also required.
On successful completion of the course, you will be able to:
understand the various discrete and continuous probability distributions;
estimate unknown parameters of a given probability distribution;
understand the theoretical concepts of estimation, hypotheses testing and
standard error of an estimator
This course is available as a single subject
click here for information.
For more information about the course contact Basil M. de Silva
(desilva@rmit.edu.au)
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