Statistics 4C03/6C03

Generalized Linear Models

Dr P.D.M. Macdonald

2004-2005

Statistics 4C03/6C03 is offered by the Department of Mathematics & Statistics at McMaster University.
Any questions, comments or suggestions? Send an e-mail to me at pdmmac@mcmaster.ca.

Announcements

Check your term marks online!
(To preserve confidentiality, I have omitted the first two digits of your student number.)

Your Final Examination will be held on Tuesday, April 19, from 9:00 am until 1 pm
in the BSB-244 Computer Lab. Any books, notes or other resources are permitted.
You must have a valid, paid-up printing account for the Lab!

REMAINING EXAM OFFICE HOURS
Mon Apr 18 9:30-13:30 & 15:00-17:00.

Calendar Description & Course Outline

STATS 4C03/6C03: Generalized Linear Models

Normal linear model, exponential family, iteratively-reweighted least squares, logistic regression, Poisson regression and log-linear models, other families of GLMs, analysis of deviance and model checking, residual analysis.

Course Outline

Timetable

Tuesday, Wednesday and Friday at 9:30 in JHE-A113
In January, all Friday classes will be held in the BSB-241 Computer Lab.

Textbook

McCulloch, C.E. & Searle, S.R. (2001) Generalized, Linear and Mixed Models, Wiley.
This text gives a concise and thorough account of the theory while putting GLMs in the broader context of mixed models.

Dobson, A.J. (2002) An Introduction to Generalized Linear Models, Second Edition, Chapman & Hall.
Dobson's text gives very a accessible account of the theory and is aimed at anyone who needs to use GLMs to analyse data.

McCullagh, P. & Nelder, J.A. (1989) Generalized Linear Models, Second Edition, Chapman & Hall.
This is the authoritative original monograph on the topic; everything is there, but it is not always easy to follow.

Computer Labs

Classes on January 7, 14, 21, & 28 will be held in the BSB-241 computer lab.

You must have a valid userid, password and laser printing account for the lab!

Course Notes

Computing Resources

R for Beginners - a 31-page introduction to R, in pdf format - and other online manuals

Download R - an open code language and environment for statistical computing, distributed free of charge, available for unix, Windows, Macintosh, and Linux.

You want the "Precompiled binary distribution", not the "source code". For Windows installation, go to the link for "Windows (95 and later)", open folder "base", and click on rw2001.exe to download the installer. Run rw2001.exe to install R on your computer.

An Online Splus Tutorial from Dalhousie University

Exercises

Assignments

Assignment #1 - Due 2005-02-09 16:30
Assignment #2 - Due 2005-03-04 9:30

Tests

Test #1	2005-02-10 (Thursday)	18:00-20:00	BSB-241 Computer Lab*
Test #2	2005-03-21 (Monday)	18:00-20:00	BSB-241 Computer Lab*

Aids permitted: Open book.

*You must have a valid userid, password and laser printing account for the BSB computer lab. Tests MUST be submitted on paper; electronic submission is NOT permitted.

If you are unable to write a test at the scheduled time, please e-mail me at least 3 days before to make special arrangements.

Some Other Links

Need more help?

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Statistics 4C03/6C03
Dr Macdonald's Courses

Last modified Friday, April 15, 2005 at 10:22