MA308-6-SP: LINEAR MODELS
Year: 2013/14
Department: Mathematical Sciences
Essex credit: 15
ECTS credit: 7.5
Available to Study Abroad / Exchange Students: Yes Pre-requisites: MA114 AND MA207
| Module is taught during the following terms |
| Autumn |  | Spring |  | Summer | |
Module Description
Aims
To bring together and develop the ideas, first introduced in MA207 and MA208, concerning regression, the analysis of variance, the analysis of contingency tables, under the common umbrella of the general linear model.
On completion of the module students should be able to:
- represent a model in matrix form
- write down and manipulate matrix expressions for least squares estimates and their properties
- appreciate the problems of model selection and know standard methods such as backward elimination
- be able to formulate a test procedure for handling a discrete random variable
- understand what is meant by log-linear model and how it applies to multidimensional contingency tables
-use R for data analysis
Syllabus:
- General linear model: least squares, properties of estimators, Gauss-Markov theorem, ANOVA, interval estimates of parameters, WLS, linearising.
- Multiple regression: regression diagnostics, residuals, leverage and influence, AIC, Mallows' Cp.
- Logits and logistic regression: Newton-Raphson method, fit of the model, hypothesis testing, diagnostics and polytomous response variables.
- Log-linear models: two-, three- and multi-way contingency tables, Deming-Stephan algorithm, hypothesis testing, choice of model, diagnostics and model search.
Learning & Teaching Methods
The module has 30 contact hours in total. 2 lectures each week for 9 weeks, 1 lab in weeks 16-18 and 1 class in weeks 19-23 and 25, during the spring term.
In the summer term 3 revision lectures are given. A project is undertaken in small groups.
Assessment
30 per cent Coursework Mark, 70 per cent Exam Mark
Coursework:
30 percent coursework mark consisting of best 2 (each 2.5%) out of 4 problem sets; a group project (written report and oral presentation) counting for 25%.
Other details:
Information about coursework deadlines can be found in the "Coursework Information" section of the Current Students, Useful Information Maths web pages: Coursework Information
Exam Duration and Period
2:00 hour exam during Summer Examination period.
Other information
Available to Socrates /IP students spending all relevant terms at Essex.
Bibliography
- Recommended reading:
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Dobson, A. J., Barnett, A.G. (2008), An Introduction to Generalized Linear Models, 3rd edition, Chapman & Hall.
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Faraway, J.J. (2004), Linear Models with R, Chapman & Hall. UK.
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Supplementary texts:
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Andersen, E.B. (1998), Introduction to the Statistical Analysis of Categorical Data, Springer-Verlag.
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Krzanowski, K. (1998), An Introduction to Statistical Modelling, Arnold.
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Draper, N. R. and Smith, H. (1998), Applied Regression Analysis, 3rd edition, Wiley.
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Armitage, P., Berry, G., Matthews, J.N.S., Statistical methods in medical research, (4th edition), Wiley, Chichester, UK, 2001.
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Kabacoff, R.I., R in Action - Data Analysisand Graphics with R, Manning Publications Co, 2011.