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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Content Last Modified: January 27, 2006
Curtin University of Technology, Perth CRICOS Provider Code 00301J
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