*The course and the Report*
1. Due on March 18, or earlier, is a 1-2 page Proposal setting down -
a) a brief description of the data set you intend to analyse for the Report,
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 as a hard copy.*
2. Due on May 12, or earlier, under my office door, 417 Evans, is the Report on the Project.
*Please submit as a hard copy.*
3. The course grade will come from - the Report, and the Proposal material.
4. Exam. The Report will consititute the final.
*The Report *
0. START THE REPORT WITH "THE question that is will be considering in this report is ..."
1. Please hand in a hard copy. Have it <= 12 pages, double spaced, point size >= 12pt, single column, and one inch or larger margins.
2. Start out the Report with the Scientific Question you will be addressing.
3. Describe the important parts of your analyses. Use only methods discussed in class or in Cryer & Chan or in Gelfand et al or in Guttorp or in Shumway & Stoffer or in my book.
4. Be specific, clear, factual.
5. Indicate details and sources of your data.
6. Provide the answer to your Question and implications
i) with subject-matter interpretation as possible,
ii) that are properly qualified (for the sceptical reader - here, me)
7. Lay out any final models (with uncertainties for parameter estimates as possible)
8. Mention especially important points (eg. model limitations,
unexpected results, suggestions for future studies.)
9. Include important computer output and plots as an Appendix. (These do not count in 12 page limit.)
10. Include a Summary
11. Include a list of references.
12. If you analyze an ordinary time series, carry out both time- and frequency-side analyses.
13. For each Report provide some comparative discussion of the analyses, e.g. the time-side and the frequency-side results.
*Some Suggestions re the Report *
1. Be clear what the Question you are addressing is. Remember to provide a clear answer.
2. Check the basic assumptions (eg. stationarity, no outliers present) by plotting the data, getting stem-and-leafs, etc.
3. Think about the available EDA methods are, eg. analysing log Y(t) instead of Y(t).
01/21/2014