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Institution:
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Cleveland State University
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Subject:
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Description:
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Prerequisite: MTH 347 with a grade of āCā or better or permission of instructor. The course covers techniques of modeling data that are collected sequentially. Topics include a review of basic ideas of modeling a continuous variable, time series regression, autocorrelation, decomposition methods, exponential smoothing, ARMA (Autoregressive Moving Average) models, and ARIMA (Autoregressive Integrated Moving Average) models. The course uses a statistical programming language. Data from a variety of fields will be studied. Counts toward the statistics minor; does not count toward the minor, B.A., or B.S. in Mathematics.
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Credits:
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4.00
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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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(216) 687-2000
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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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