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Module STATISTICAL METHODS FOR DATA SCIENCE 2 (R)

Module code: DS865
Credits: 5
Semester: 1
Department: MATHEMATICS AND STATISTICS
International: No
Overview Overview
 

This course is a continuation of DS663. Topics are: Parameter estimation; method of moments maximum likelihood and least squares. Simple linear and multiple regression. Analysis of Variance, R2, sequential sums of squares, general F-tests. Case studies in R. Model checking via residual plots. Regression diagnostics: residuals, leverage, outliers, influence and Cook's Distance.

Lecturers and labs as for DS665.

Open Learning Outcomes
 
Open Teaching & Learning methods
 
Open Assessment
 
Open Repeat options
 
Open Pre-Requisites
 
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