Description: Methods for analyzing time series including: decomposition of time series, seasonal adjustment methods, index numbers; forecasting including causal models, trend models, smoothing models, autoregressive models, moving average and integrated models. Letter grade only. Course fee required.
Sections offered: Spring 2022
Prerequisite: STA 471 with a grade of C or better