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|STAT 42000 - Introduction To Time Series|
Credit Hours: 3.00. An introduction to time series analysis suitable for actuarial science, engineering, and sciences. Model building and forecasting with ARMA and ARIMA models. Resampling methods for confidence intervals. Multivariate, state-space, and nonlinear models. Volatility models (ARCH and GARCH). Smoothing in time series.
3.000 Credit hours
Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture
Offered By: College of Science
May be offered at any of the following campuses:
Learning Outcomes: 1. Manage time series data; extract subset of time series data. 2. Visualize time series data. 3. Understand trend and correlation. 4. Model time series data. 5. Forecast of time series data.
(Undergraduate level STAT 35000 Minimum Grade of C- or Undergraduate level STAT 35500 Minimum Grade of C- or Undergraduate level STAT 51100 Minimum Grade of C-) and (Undergraduate level MA 41600 Minimum Grade of C- or Undergraduate level STAT 41600 Minimum Grade of C- or Undergraduate level STAT 51600 Minimum Grade of C-)
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