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302387 (v.2) Time Series Modelling 404


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

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
 

Syllabus:

Exponential smoothing methods to forecast non-seasonal and seasonal time series. Stochastic time series models, fundamental concepts. Invertibility and stationarity, autocorrelation and partial autocorrelation, identification and estimation in non seasonal ARIMA models, forecasting and diagnostic checking. Seasonal time series models. Intervention analysis and outlier detection. Multivariate time series, vector ARMA and state-space modelling.
 
** 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

 
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