302315 (v.2) Mathematical Statistics 202

Area:

Department of Mathematics and Statistics

Credits:

25.0

Contact Hours:

4.0

** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. **

Lecture:

1 x 3 Hours Weekly

Workshop:

1 x 1 Hours Weekly

Prerequisite(s):

7062 (v.6) Mathematics 101 or any previous version
AND
7149 (v.7) Principles of Statistics 101 or any previous version

Syllabus:

Probability theory, special univariate distributions, multivariate, marginal and conditional distributions, introduction to stochastic processes, Markov chain, expectation and generating functions, functions of random variables and derived distributions,random sums, convergence of random sequence, sampling distributions, basic methods of estimation (MLE and MME), unbiasedness and consistency, introduction to decision theory, Minimax approach and Bayes approach, structure of Bayes rule, complete class ofrules, construction of minimax rules, point and interval estimations as a decision problem, hypothesis testing as a decision problem.

** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. **

Field of Education:

10100 Mathematical Sciences (Narrow Grouping)

HECS Band (if applicable):

Extent to which this unit or thesis
utilises online information:

Not Online

Result Type:

Grade/Mark

Availability

Year	Location	Period	Internal	Area External	Central External
2004	Bentley Campus	Semester 2	Y

Area External	refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central External	refers to external course/units run through the Curtin Bentley-based Distance Education Area

Click here for a printable version of this page

Image of People or Curtin's Bentley Campus