Module manager: Professor J.T. Kent
Email: j.t.kent@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2007/08
MATH2715 or equivalent
MATH2715 | Statistical Methods |
MATH5715M | Linear and Nonparametric Models |
MATH3713, MATH3823, MATH5823M
This module is approved as an Elective
Regression techniques are key methods in statistics which relate a response variable to one or more predictor variables. Simple linear regression assumes a relationship like y = ax + b, where y is then observed with normally distributed errors. This model makes many assumptions, all of which can be relaxed. In this module, we study regression models which allow more complicated data sets to be analysed. Many of these models can be brought together in the framework of generalized linear models.
On completion of this module, students should be able to:
a) prove basic linear model theory using matrix algebra;
b) use a computer package to fit regression models and generalized linear models (including the use of link functions, deviance and overdispersion) to data, and interpret the models;
c) fit and interpret the special cases of log linear models and logistic regression;
d) use a statistical package with real data to fit these models to data and to write a report giving and interpreting the results.
(a) Introduction to linear regression; multiple linear regression;
(b) estimation and hypothesis testing;
(c) residual analysis; influential observations;
(d) subset variable selection .
(e) Generalized linear model; probit model; logistic regression; log linear models.
Delivery type | Number | Length hours | Student hours |
---|---|---|---|
Example Class | 7 | 1 | 7 |
Laboratory | 2 | 1 | 2 |
Lecture | 26 | 1 | 26 |
Private study hours | 115 | ||
Total Contact hours | 35 | ||
Total hours (100hr per 10 credits) | 150 |
Examples sheets
Assessment type | Notes | % of formal assessment |
---|---|---|
Report | 15-30 pages | 20 |
Total percentage (Assessment Coursework) | 20 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exam type | Exam duration | % of formal assessment |
---|---|---|
Standard exam (closed essays, MCQs etc) | 3.0 Hrs 0 Mins | 80 |
Total percentage (Assessment Exams) | 80 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
The reading list is available from the Library website
Last updated: 5/1/2008
Errors, omissions, failed links etc should be notified to the Catalogue Team