Applied Time Series Analysis

Prerequisite: MATH 341 with a grade of C or better or MATH 333 with a grade of C or better. An introduction to applied univariate time series analysis. Topics include regression techniques for modeling trends, smoothing techniques (moving average smoothing, exponential smoothing), autocorrelation, partial auto-correlation, moving average, and autoregressive representation of series, Box-Jenkins models, forecasting, model selection, estimation, and diagnostic checking, Fourier analysis, and spectral theory for stationary processes.

Term 202410 #13924 MATH447
Permalink:
Instructor
Meeting Times
Location: FMH 110 (NK)
@ 13:00 - 14:20
From 2024-01-16 to 2024-05-09
Enrollment

14

seats available

23

currently enrolled

37

maximum enrollment

99

waitlist seats available

99

waitlist capacity

Section Tally

The information displayed within is from the respective higher education institution(s).

Contact info@sectiontally.com for any questions or concerns.