Courses Handbook 2006 - [Archived]

302376 (v.2) Advanced Statistical Inference 402


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
 

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:

010103 Statistics

Funding Cluster:

04 - Mathematics, Statistics

SOLT (Online) Definitions*:

Not Online
*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.

 
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