5912 (v.4) Advanced Statistical Inference 502


Area:

Department of Mathematics and Statistics

Credits:

25.0

Contact Hours:

3.0
 
** 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:

3 x 1 Hours Weekly

Prerequisite(s):

5910 (v.4) Stochastic Processes 501 or any previous version
 

Syllabus:

Basic principles and methods of inference for stochastic processes. Inference for special models - branching processes, discrete time Markov chains, continuous time marker chain. Large sample theory for the estimates. Statistical inference for point processes.
 
** 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):

2

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