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302315 (v.2) Mathematical Statistics 202
Area: | Department of Mathematics and Statistics |
Contact Hours: | 4.0 |
Credits: | 25.0 |
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
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| 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. |
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 |
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