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Institution:
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University of Cincinnati-Main Campus
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Subject:
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Description:
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The course will cover multivariate normal distribution, distributions of quadratic forms, theory of Analysis of variance as applied to linear regression in full-rank models, estimability and testability in non-full-rank models, and generalized inverse and its use in such models, various types of sums of squares in ANOVA of designed models, associated estimable and testable functions in balanced and unbalanced designs with fixed effects, random effects and mixed effects, and nested and crossed factors. Estimation and testing of fixed effects and variance components using ANOVA Sums of Squares will be covered. SAS will be extensively used to apply these concepts with real data.
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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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(513) 556-6000
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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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