Overview

Regression is a set of statistical techniques widely used to analyse relationships between several variables. The topics covered in this course include: linear regression; weighted least squares; generalised linear models; tting GLMs and diagnostics; Poisson, binomial regression; analysis of variance; penalised regression methods; splines; penalised splines; thin plate splines; variable … For more content click the Read More button below. The lectures will be complemented with worked examples using the R data analysis and statistical programming software.

Course Outline

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Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)