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STAT 5825

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: Open to graduate students in Statistics, others with permission.

Code
STAT 5825
Credits
3
Subject
STAT

Programs That Include This Course

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