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STAT 5328

Regression and Applied Time Series Models.

Three semester hours.

This course focuses on the study of data correlated over a certain period of time. The correlation of such data can be analyzed using various tools including ARIMA models, suitability estimates, forecast predictions, smoothing methods, cross correlation, lagged regressions, use of time series variables, intervention analysis, longitudinal analysis, multivariate time series, and frequency domain analysis to name a few.

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