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Applied Time Series Analysis STAT 485 (3)

Introduction to linear time series analysis including moving average, autoregressive and ARIMA models, estimation, data analysis, forecasting errors and confidence intervals, conditional and unconditional models, and seasonal models. Prerequisite: STAT 285 or STAT 302 or STAT 305 or ECON 333 or equivalent, with a minimum grade of C-. This course may not be taken for further credit by students who have credit for ECON 484. Quantitative.

Section Instructor Day/Time Location
E100 Gary Parker
Mo 5:30 PM – 6:20 PM
Th 4:30 PM – 6:20 PM
AQ 3181, Burnaby
AQ 3181, Burnaby
E101 Gary Parker
Mo 3:30 PM – 4:20 PM
AQ 5016, Burnaby
E102 Gary Parker
Mo 4:30 PM – 5:20 PM
AQ 5016, Burnaby
E103 Gary Parker
Mo 6:30 PM – 7:20 PM
AQ 5016, Burnaby