Some specifics re the course:
1. Due on Thursday March 31, or earlier, is a 1-2 page proposal setting down -
a) a brief description of the data set you intend to analyse for the
Project,
b) an indication of the source of the data set,
c) the objectives of your investigation,
d) the analyses you anticipate completing.
These are to be brief. The point is that I can interact with you a bit
before you do a lot of work.
Please submit a hard copy.
2. Due on Tuesday May 10 is the report on the Project. Please hand in a hard copy.
3. The course grade will come from - the report, and the Thursday March 31 material.
4. Exam. The Project will consititute the final.
The Report
-1. Please hand in a hard copy. Have it <= 15 pages, double spaced, point size >= 12pt, and single column.
0. Set down the scientific questions you will be addressing.
1. Describe the important parts of your analyses.
2. Be specific, clear, factual.
3. Indicate details and sources of your data.
4. Provide conclusions and implications
i) with subject-matter interpretation as possible,
ii) that are properly qualified (for the sceptical reader - here, me)
5. Lay out any final models (with parameter estimate standard errors and confidence intervals as possible)
6. Mention especially important points (eg. model limitations, unexpected results, suggestions for future studies.)
7. Include important computer output and plots
8. Include a Summary
9. Include a list of references.
10. For each Project provide some comparative discussion of the time-side and the frequency-side results.
Some Suggestions re the Project
1. Check the basic assumptions (eg. stationarity, no outliers present) by plotting the data, getting stem-and-leafs, etc.
2. Think about re-expressing the data, eg. analysing log Y(t) instead of Y(t).
A Bit of Advice
Don't leave a lot of computations til the end of the semester. The computers break down and get very slow.
3/26/2005