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4825. Applied Time Series
3.00 credits
Prerequisites: STAT 3445.
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: 28-MAR-24 05.20.12.635703 AM
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Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1243 13280 1 001 | Spring 2024 | Storrs | In Person | Zheng, Yao Yu, Manjun |
001 | Reg | TuTh 9:30am‑10:45am |
SHH 108 | 5/10 |