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Institution:
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University of Missouri-St Louis
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Subject:
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Description:
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Prerequisites: A minimum campus GPA of 2.0 and either LOG OM 3220 or [MATH 3000 and MATH 1320]. Further study of statistical tools for forecasting in a decision-making context. Topics include explanatory models (multiple regression), classical time series decomposition, and extrapolative techniques (exponential smoothing and Box-Jenkins procedures). In addition, methods for considering problems of intervention effects, seasonality, and collinearity will be discussed. Students will perform extensive analyses of time series data using computer packages.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(314) 516-5000
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Regional Accreditation:
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North Central Association of Colleges and Schools
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Calendar System:
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Semester
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