| Announcements | Calendar | Timetable | Textbook | Course Notes |
| Computing Resources | Exercises | Assignments | Tests | Links |
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.
Assignment #2 is now online. New Class Timetable |
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.
Tuesday 08:30-09:20, Thursday 13:30-15:20, in HH-207.
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. This is the required course text.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.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.
nlm()
and by Fisher Scoring
base
, and click on R-2.2.1-win32.exe
to download the installer. Run R-2.2.1-win32.exe
to install R on your computer.
Mon Feb 12
17:30-19:30
BSB-241 Student Technology Centre*
Mon Mar 19
17:30-19:30
BSB-241 Student Technology Centre*
Aids permitted: Open book.
*You must have a valid userid, password and laser printing account for the Student Technology Centre. 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.