MATH 3283
Time Series
Seasonal effects, trends, descriptive methods. Stochastic processes, moving average and autoregressive processes. Autocorrelation. Model fitting and Box Jenkins models. Forecasting. Regression based procedures. Prerequisite(s): One of MATH 2223, MATH 2243, or MATH 2253 with a minimum grade of C-.
Sources
- Course catalogue ↗2026-2027