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302376 (v.2) Advanced Statistical Inference 402
Area: | Department of Mathematics and Statistics |
Credits: | 25.0 |
Contact Hours: | 3.0 |
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. |
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Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases. |
Unit References: | Bassava, I.V. and Rao, L.S.P. Statistical Inference for Stachastic Processes Academic Press, 1980 ;Cox, D.R. and Hinkley, D.V. Theoretical Statistics Chapman & Hall, 1974 ;Aderson, P.K., Borgan, O., Gill R.D. and Keiding, N. Statistical Models Based onCounting Processes, Springer Verlag, 1993 ;Guttorp, P. Statistical Inference for Branching Processes, John Wiley & Sons, 1991 ;Lawless J.F. Statistical Models and Methods for Life-time Data, John Wiley & Sons; |
Unit Texts: | No textbook required. |
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Field of Education: | 10100 Mathematical Sciences (Narrow Grouping) | HECS Band (if applicable): | 2 |
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Extent to which this unit or thesis utilises online information: | Not Online | Result Type: | Grade/Mark |
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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 |
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