MTH 421 - Time Series Analysis(4 credits)
Prerequisite(s): Prerequisite: a C or better in MTH 347 or permission of instructor. The course will cover techniques of modeling data that are collected sequentially. Topics to be covered include a review of basic ideas of modeling a continuous variable, time series regression, autocorrelation, decomposition methods, exponential smoothing, ARMA (Autoregressive Moving Average) models, and ARIMA (Autoregressive Integrated Moving Average) models. The course will use statistical programming language. Data from a variety of fields will be studied. Counts toward the statistics minor; does not count toward the minor, BA or BS in Mathematics.
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