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Applied Regression Analysis - MATH5806 | |||||||||||||||||||||||||||||||||||||||||
Description This course examines conceptual issues and computing methods for application of modern regression models to real data. Topics covered include selection from: least squares regression, diagnostic tools, model selection, generalized linear models, smooth function regression, penalty and shrinkage methods, generalized additive models, and mixed models.
Pre-requisites: 24 units of level III mathematics or a degree in a numerate discipline or permission of the Head of Department. Note: Course not offered every year - contact the School for more information. |