Syllabus
1. Modelling in S-PLUS
2. Model simplification
3. Model criticism
4. Analysing count data: Poisson errors
5. Analysing proportion data: binomial errors
6. Binary response variables
7. Gamma errors
8. Survival analysis
9. Programming
Annotation
This lecture is a follow-up to the Modern statistical methods I lecture.