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| STAT 52000 - Time Series And Applications |
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Associated Term:
Spring 2024
Learning Outcomes: 1. Recognize basic properties of stationary time series and various aspects and representations of ARMA and ARIMA models. 2. Understand and apply standard time domain techniques for the identification, estimation, and forecasting of ARIMA models. 3. Identify elementary concepts and techniques for spectral analysis. 4. Use R facilities to analyze real life time series data. Required Materials: Technical Requirements: |
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