Lecture
Time Series Analy & Forecstng
Course and term details
- Sequence
- 40
- Part of term
- OL
- Term
- Fall 2026
- Delivery
- Online-Asynchronous
- Delivery code
- I
- Linked section
- No
- Open section
- Yes
Fall 2026
ECON4115 CRN 12527Time Series Analy & Forecstng
LectureOnlineAadland, David MOnline · async
Section data from the UW course catalog via uwyoschedule. Confirm seats and meeting times in WyoWeb before you register.
Schedule
Days TBD
08/31/2026 – 12/11/2026
Meeting type
No Meeting · LEC
Faculty
Aadland, David MPrimary
aadland@uwyo.edu
Seats
21
open of 30 seats
Enrollment and waitlist
- Enrollment
- 9
- Maximum enrollment
- 30
- Seats available
- 21
- Wait capacity
- 10
- Wait count
- 0
- Wait seats available
- 10
Course description
An applied introduction to time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analysis using MINITAB and SAS will be an important part of the course. Dual listed with ECON 5115; cross listed with STAT 4115. Prerequisites: STAT 3050 or equivalent, STAT 4015/5015 recommended.
Credits
3
3
All credit fields
- Credit range
- 3
Section information
Designed to have an applied orientation in a number of estimation procedures, such as exponential smoothing and forecasting with and without the presence of trends and seasonal repetitive patterns. The Box-Jenkins procedure will be covered in detail. Students become proficient in the application of statistical tools used in time series analysis of economic data.
Attributes
1
TPB1 · Program Fees - Business
Full attribute list
- TPB1
Program Fees - Business
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