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302387 (v.2) Time Series Modelling 404



 

Area:

Department of Mathematics and Statistics

Contact Hours:

3.0

Credits:

25.0

Lecture:

3 x 1 Hours Weekly

Anti Requisite(s):

304193 (v.3) Time Series Modelling 504 or any previous version

Prerequisite(s):

302315 (v.2) Mathematical Statistics 202 or any previous version
Stationary stochastic processes. Autocorrelation. Auto regressive integrated moving average (ARIMA) models. Spectral analysis. Fast Fourier transform estimation in time domain. Linear filters. Time series models in frequency domain. Multivariate time series. Optimal filters - Kolmogorov, Weiner, Kalman. Concepts of stochastic control. Practical application of foregoing to modelling.


Availability

YearLocationPeriodInternalArea ExternalCentral External
2003Bentley CampusSemester 2Y  

- 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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