Topics in Probability and Statistics: Introduction to the Theory and Methods of Time Series Analysis
Description
A systematic presentation of many statistical techniques for the analysis of time series data. The core topics include time dependence and randomness, trend, seasonality and error, stationary processes, ARMA and ARIMA processes, multivariate time series models and state-space models. Prerequisites: either SC/MATH 3033 3.00 or SC/MATH 3330 3.00; SC/MATH 3131 3.00; or permission of the course coordinator. Course credit exclusions: LE/CSE 3451 4.00 (prior to Fall 2014), LE/EATS 4020 3.00 (prior to Fall 2014), SC/MATH 4830 3.00 (prior to Fall 2014), SC/PHYS 4060 3.00, SC/PHYS 4250 3.00. PRIOR TO SUMMER 2013: Prerequisites: Either SC/MATH 3033 3.00 or SC/MATH 3330 3.00; SC/MATH 3131 3.00; or permission of the course coordinator. Course credit exclusions: SC/CSE 3451 4.00, SC/EATS 4020 3.00, SC/MATH 4830 3.00, SC/MATH 4930C 3.00, SC/PHYS 4060 3.00, SC/PHYS 4250 3.00.
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