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 |
| MATH3715 | Linear Models |
MATH3713, MATH3823, MATH5823M
This module is not approved as an Elective
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 parametric and nonparametric regression models as well as generalized linear models (including the use of link functions, deviance and overdispersion) to data, and interpret the models;
c) describe various smoothing techniques used in nonparametric regression
d) fit and interpret the special cases of log linear models and logistic regression;
e) 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 local regression models and 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.
(f) local regression models and linear regression; Kernel smoothing; resistant smoothing techniques.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Example Class | 11 | 1 | 11 |
| Laboratory | 4 | 1 | 4 |
| Lecture | 32 | 1 | 32 |
| Private study hours | 153 | ||
| Total Contact hours | 47 | ||
| Total hours (100hr per 10 credits) | 200 | ||
Examples sheets.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Report | 1 x 15-30 pages + 1 x 10-15 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