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
Prerequisite(s):302315 (v.2) Mathematical Statistics 202 or any previous version
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.
YearLocationPeriodInternalArea ExternalCentral External
2003Bentley CampusSemester 2Y  

 

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