AMA 350 - Applied Forecasting Analysis

Institution:

Le Moyne College

Subject:

Description:

This course is designed to introduce the basic concepts and methods for modeling and forecasting both univariate and multivariate time-ordered data. Methods studied include univariate Box-Jenkins/ARIMA analysis and transfer function modeling. Forecasting methods will be compared and applied to case studies using real-world data in economics, finance and marketing with emphasis on computer demonstrations of the forecasting methods. These case studies illustrate the different forecasting models that are appropriate in a variety of business settings, as well as the problems that typically arise from applying those models in practice. Statistical properties of the forecasts and error analyses will be emphasized. The course is taught in a computer lab. Prerequisite: STA 202.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.lemoyne.edu

Phone Number:

(315) 445-4100

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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