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Applied Time Series Analysis STAT 685 (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 302 or STAT 305 or STAT 650 or BUEC 333 or permission of instructor. Open only to graduate students in departments other than Statistics & Actuarial Science.

Section Instructor Day/Time Location
G100 Sonja Isberg
Mo 5:30 PM – 6:20 PM
Th 4:30 PM – 6:20 PM
REMOTE LEARNING, Burnaby
REMOTE LEARNING, Burnaby
G101 Mo 3:30 PM – 4:20 PM
REMOTE LEARNING, Burnaby
G102 Mo 4:30 PM – 5:20 PM
REMOTE LEARNING, Burnaby
G103 Mo 6:30 PM – 7:20 PM
REMOTE LEARNING, Burnaby
G104 Mo 7:30 PM – 8:20 PM
REMOTE LEARNING, Burnaby