MATH5806 Applied Regression Analysis

6 Units of Credit

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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, generalised 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.