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5825. Applied Time Series
3.00 credits
Prerequisites: Open to graduate students in Statistics, others with permission.
Grading Basis: Graded
Introduction to prediction using time-series regression methods with non-seasonal and seasonal data. Smoothing methods for forecasting. Modeling and forecasting using univariate autoregressive moving average models.
Last Refreshed: 12-MAR-25 05.20.26.568082 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1258 9263 1 001 | 001 | 9263 | Zheng, Yao | 0/30 | Reg | Online Asynchronous |