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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
Spring 2024 Storrs In Person Zheng, Yao
Yu, Manjun
001 Reg TuTh 9:30am‑10:45am
SHH 108 5/10