309810 (v.1) Statistical Inference 501
| 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 |
| Tutorial: | 1 x 1 Hours Weekly |
| Prerequisite(s): | 309807 (v.1) Mathematical Statistics 503 or any previous version |
| Syllabus: | 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, Simulation. |
| ** 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: | 010103 Statistics |
| Funding Cluster: | 04 - Mathematics, Statistics |
| SOLT (Online) Definitions*: | Informational *Extent to which this unit or thesis utilises online information |
| Result Type: | Grade/Mark |
Availability |
|
| Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. | |
Curtin University of Technology
Current as of: July 11, 2005
Curtin University of Technology, Perth CRICOS Provider Code 00301J
The Sydney Campus of Curtin University of Technology CRICOS Provider Code 02637B