304193 (v.3) Time Series Modelling 504
| Area: | Department of Mathematics and Statistics | 
| Contact Hours: | 3.0 | 
| Credits: | 25.0 | 
| Lecture: | 1 x 3 Hours Weekly | 
| Anti Requisite(s): | 302387 (v.2) Time Series Modelling 404  or any previous version 
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| Prerequisite(s): | 302315 (v.2) Mathematical Statistics 202  or any previous version 
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| Exponential smoothing methods to forecast non-seasonal and seasonal time series. Stochastic time series models, Fundamental Concepts. Invertibility & Stationarity, Autocorrelation & 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. | 
| Year | Location | Period | Internal | Area External | Central External |  | 2003 | Bentley Campus | Semester 2 | Y |   |   |    | 
 
 
Current as of: October 30, 2003     13:11:55
 
 
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