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Institution:
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Kansas State University
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Subject:
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Statistics
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Description:
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Statistical models based on the exponential family of distributions where a function of the mean response is linear in the covariates. Applications to non-normal and discrete data, including binary, Poisson and gamma regression, and log-linear models. Topics include likelihood-based estimation and testing, model-fitting, residual analysis, over-dispersed models, quasi-liklihood, and the use of computer packages.
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Credits:
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2.00
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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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(785) 532-6011
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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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