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STAT 4825

Applied Time Series

University of Connecticut 3 credits STAT

Course Description

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. Enrollment Requirements: STAT 3445.

Code
STAT 4825
Credits
3
Subject
STAT

Programs That Include This Course

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