- Section 1 (4up printable version) - last updated 23-10-2016
- Section 2 (4up) - last updated 30-10-2016
- Section 2 - swiss example with R code
- Section 3 (4up) and some R code on HMs - last updated 02-11-2016

Here is a link to Geoff Nicholls' notes from MT 2014 - note that these contain some details that these lectures no longer cover (e.g. derivation of AIC and Box-Cox)

- SB1a practicals
- MSc practical material is on WebLearn (Course Material -> Core Courses -> Applied Statistics)

There will be two problem sheets on Linear Models

Recommended reading:

- A.C. Davison, "Statistical Models", CUP
- J.J. Faraway, "Linear Models with R", Chapman and Hall
- J.J. Faraway, "Extending the Linear Model with R", Chapman and Hall

Other very helpful texts and more advanced reading:

- A. Gelman and J. Hill, "Data Analysis Using Regression and Multilevel/Hierarchical models", CUP
- W.N. Venables and B.D. Ripley, "Modern Applied Statistics with S", 4th Edition, Springer
- F.L. Ramsey and D.W. Schafer, "The Statistical Sleuth", Duxbury
- A.J. Dobson and A.G. Barnett, "An Introduction to Generalized Linear Models", Chapman and Hall - mainly for GLMs
- J.C. Pinheiro and D.M. Bates, "Mixed-Effects Models in S and S-PLUS", Springer
- T.A.B. Snijders and R.J. Bosker, "Multilevel Analysis", 2nd edition, Sage