Course Catalog

STAT4230 - Time Series Analysis

Spring 2020

This course introduces the mathematical and statistical foundations necessary for the study of time dependent sets, more commonly referred to as time series. The estimation of model parameters and the application of the models to forecasting constitute the main themes of the course. Specific topics include smoothing techniques, the tudy of autocorrelation, and the standard auto regressive integrated moving average (ARIMA) models.
Prerequiisite: STAT4250
3 Credits

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