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Institution:
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University of Rochester
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Subject:
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Description:
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The course will study probability spaces; univariate and multivariate distributions; moments; transforms and generating functions; univariate and multivariate central limit theorems; Markov chains and processes in discrete and continuous time; autoregressive and moving average time series; Poisson process; Wiener process; discrete and continuous time renewal theory; and properties of Markov chains.
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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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(888) 822-2256
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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