STAT 672 - Forecasting and Time Series

Institution:

Slippery Rock University of Pennsylvania

Subject:

Description:

An introduction to creating, solving, analyzing, and interpreting real-world time-series and forecasting models. Topics include linear, autoregressive, moving average, and other forecasting and time-series techniques; transfer functions; multivariate model building; stationary and nonstationary techniques. Applications may include all areas where forecasting is required including transportation, finance, scheduling, networks, and supply chains. Appropriate software tools for analyzing forecasting models including software such as SAS and spreadsheet software will be taught.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Other

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.sru.edu

Phone Number:

(724) 738-9000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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