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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
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

YearLocationPeriodInternalArea ExternalCentral External
2003Bentley CampusSemester 1Y  

- 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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