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 equivalent. This course may not be taken for further credit by students who have credit for ECON 484. Quantitative.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Steven Thompson |
Sep 8 – Dec 7, 2015: Mon, 5:30–6:20 p.m.
Sep 8 – Dec 7, 2015: Thu, 4:30–6:20 p.m. |
Burnaby Burnaby |
|
| E101 |
Steven Thompson |
Sep 8 – Dec 7, 2015: Mon, 12:30–1:20 p.m.
|
Burnaby |
| E102 |
Steven Thompson |
Sep 8 – Dec 7, 2015: Mon, 3:30–4:20 p.m.
|
Burnaby |
| E103 |
Steven Thompson |
Sep 8 – Dec 7, 2015: Mon, 4:30–5:20 p.m.
|
Burnaby |
| E104 |
Steven Thompson |
Sep 8 – Dec 7, 2015: Thu, 3:30–4:20 p.m.
|
Burnaby |