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Time series–data collected over time–crop up in applications from economics to engineering to transit. But because the observations are generally not independent, we need special methods to investigate them. This course will include exploratory methods and modeling for time series, including smoothing, ARIMA and state space models, and a foray into the frequency domain. We will emphasize applications to a variety of real data.
Grading: yes pass/fail option,
yes fifth course option
evaluation will be based primarily on projects, homework, and exams
STAT 346 (may be taken concurrently) or permission of instructor