STAT 4825

Applied Time Series

University of Connecticut-Hartford Campus · UGRD · Fall 2026

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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.

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Class #connecticut_hartford_campus-4510Fall 2026UGRD3 credits
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