620-374: Resampling Section
References
- Casella, G., Berger, R. L., 1990. Statistical inference. Duxbury Press.
- Davison, A. C., Hinkley, D. V., 1997. Bootstrap methods and their application. Cambridge
University Press.
- Efron, B., Tibshirani, R. J., 1993. An introduction to the bootstrap. Chapman and Hall.
- Hall, P., 1992. The bootstrap and Edgeworth expansion. Springer.
R code
Programmes are indexed by the lecture slides.
You may find useful Andrew Robinson's notes on the bootstrap in R
Lab Tasks
- Lab 1 is given on lecture slide 43
- Lab 2 is given on lecture slide 60
- Lab 3 is given on lecture slide 95
Assignments
There will be three assignments for this section of the course, due on Fridays at 5:00pm on weeks 10, 11 and 12.
Each will be worth 20/9%.
Assignments can be dropped into the assignment box on the ground floor of the Richard Berry building, or else handed to the lecturer in person. Assignments up to a week late receive only half marks. Assignments over a week late will receive no marks, but will still be marked if you wish feedback.
Make sure you put the course code and your name clearly on the top of each assignment. Collaboration on assignments is not allowed.
- Assignment 1 is questions 18.1, 18.2, 20 and 24 from the lecture slides.
- Assignment 2 is lab 46 and questions 48 and 50 from the lecture slides.
- Assignment 3 is questions 73, 87 and 96.1 from the lecture slides. You will need CityRatio.r (see also MouseBootLib(S54).r).