Time Series Analysis

Catalog description

This is an introductory course, with emphasis on practical aspects of time series analysis. Methods are hierarchically introduced - starting with terminology and exploratory graphics, progressing to descriptive statistics, and ending with basic modeling procedures. Topics include detrending, filtering, autoregressive (ARMA) modeling, forecasting, and spectral analysis. Software such as S-plus, R, or MATLAB will be used.