STAT1006

STAT1006: Regression and Nonparametric Inference

Science and Engineering

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About this Unit

This unit begins with an introduction to nonparametric methods for hypothesis testing. These methods are distribution-free analogues of parametric methods such as one- and two-sample t-tests that have been presented in introductory statistics units. The main part of the unit is devoted to linear regression, and it will include topics such as simple and multiple linear regressions, estimation by the method of least squares, diagnostic checking of models, analysis of variance, conventional as well as more contemporary methods of variable selection. Throughout, students will be using the R language statistical computing environment to carry out and document analyses in a reproducible manner.

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Unit Details

Credits25

Contact Hours4 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education010103 Statistics

Handbook View Official Handbook Page →

Tuition Pattern

Lecture1 x 2 hours weekly
Computer Laboratory1 x 2 hours weekly

Prerequisites

PrerequisitesSelect One

STAT1005v1Introduction to Probability and Data Analysis

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