### ASSIGNMENTS

### Assignment 1 (1%)

[pdf]### Assignment 2 (10%)

Due on Friday September 30th. If you have questions let me know asap.[pdf]

### Assignment 3 (10%)

Due on Friday, November 11th. If you have questions let me know asap.[pdf]

SOLUTIONS to Q2:

### TESTS

### Test 1 (20%)

Friday, October 7th, 50 minutes.- Here is an old midterm. We can take part of Wednesday's class to discuss this test.
- The coverage of our test will be everything that we've done upto and
including last Friday's lecture. In particular
- three different types of confidence sets (ID and derive)
- EDF: theory, practice, confidence regions
- simulation of coverage probabilities
- statistical functionals (derive asymptotic confidence regions for linear and "nearly linear" statistical functionals, describe variance estimators, state "sans proof" limit theory for the quantiles)
- parametric and nonparametric bootstrap to estimate simple quantity
(eg. variance) of estimator

### Test 2 (19%)

Friday, November 25th, 50 minutes. The test will consist of three essay-style questions, although it is not necessary for you to answer in essay form. The grading, however, will be more "essay-styled" as it will depend on the quality of the answer. The questions will be- Describe nonparametric regression.
- Describe nonparametric density estimation.
- Does the bootstrap always work?

### FINAL PROJECT (40%)

- Data summary due on October 31st.
- Plan of project due on November 14th. [information]
- Final project due on December 14th by 5pm (in assignment box), or earlier.

Potential sources of data:

- Some of the LW textbook data would be OK for you to work with.
- Microarray gene expression data for yeast with asssociated paper.
- CISL Research Data Archive
- Data from Peter Guttorp's book. You'll need the book to find out what the data sets are, and if any of these are of any use.
- StatSci.org
- Statistics Canada
- More Stats Can.
- The World Bank
- CDC
- google search results
- General life tables (could be Canada, could be elsewhere, may be interesting).
- Dementia (don't know if the site has data though...)
- I don't own the rights to the next two data sets, so I will only post
pseudo-versions of these data:
- Diving sheep data described here and here.
- H1N1 duration and incubation data described here.

- Cytotoxicity data from this paper (Table 1).

**N.B.**Some of these lists haven't been vetted and some of the data here may not be appropriate for what we have covered in the class. Please check with me if in doubt, or perhaps just check with me regradless. The stuff that will most likely be appropriate is regression (multivariate) or density estimation, perhaps survival stuff too.