Time Series and Forecasting. (3 h)

Methods and models for time series processes and autocorrelated data. Topics include model diagnostics, ARMA models, spectral methods, computational considerations, and forecasting error. P- STA 112 , and either STA 310 or MTH 357 , or prerequisite override required.