STAT 4825C - Applied Time Series

Institution:

University of Connecticut-Avery Point

Subject:

Description:

(280C) Either semester. Three credits. Prerequisite: STAT 3445 or instructor consent. Introduction to prediction using time-series regression methods with non-seasonal and seasonal data. Smoothing methods for forecasting. Modeling and forecasting using univariate, autoregressive, moving average models.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uconn.edu

Phone Number:

(860) 486-2000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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