STAT 4825
Applied Time Series
University of Connecticut-Waterbury Campus · UGRD · Fall 2026
1 section
Catalog 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.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #connecticut_waterbury_campus-4435Fall 2026UGRD3 credits
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?