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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: 20-SEP-19 05.20.20.002631 AM
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Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Fall 2019 Storrs In Person Ravishanker, Nalini
Zhang, Cheng
001 Reg TuTh 11:00am‑12:15pm
AUST 344 5/10