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Institution:
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University of Southern California
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Subject:
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Description:
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Broad introduction that applies linear (matrix) algebra to maximum likelihood estimation generally, using several important multivariate statistical techniques, including but not limited to multivariate analysis of variance, multivariate regression, path analysis and structural equations causal modeling, log-linear models, and time-series analysis; evaluates alternatives to maximum likelihood estimation. Prerequisite: PSYC 502; or consent of the instructor.
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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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(213) 740-2311
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Regional Accreditation:
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Western Association of Schools and Colleges
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Calendar System:
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Semester
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