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STAT 443 Time Series and Forecasting

Trend and seasonality, autocorrelation, stationarity, stochastic models, exponential smoothing, Holt-Winters methods, Box-Jenkins approach, frequency domain analysis.

This course is eligible for Credit/D/Fail grading. To determine whether you can take this course for Credit/D/Fail grading, visit the Credit/D/Fail website. You must register in the course before you can select the Credit/D/Fail grading option.

Credits: 3

Pre-reqs: One of MATH 302, MATH 318, STAT 302 and one of STAT 200, ECON 325.

Co-reqs: STAT 305.


No sections offered for 2018 Summer.