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302316 (v.1) Statistical Inference 301
Area: | Department of Mathematics and Statistics |
Contact Hours: | 4.0 |
Credits: | 25.0 |
Lecture: | 3 x 1 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Prerequisite(s): | 302315 (v.2) Mathematical Statistics 202 or any previous version
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| Procedures and properties of estimators - Fisher information, Cramer-Rao bound, consistency, sufficiency and Rao-Blackwell theorem. Hypothesis testing - Neyman-Pearson Lemma likelihood ratio, power function and confidence sets. Bayesian inference and nexus with likelihood. Monte Carlo, Boot-Strap and resampling Methods. Review of matrix algebra-random vectors, mean vectors and covariance matrices. Multivariate normal and its associated distributions. |
Availability
| Year | Location | Period | Internal | Area External | Central External | | 2003 | Bentley Campus | Semester 1 | 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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