Grading.
Statistics 221: Time Series Analysis, Prof. Schoenberg.
Class Participation (10%)
Project A -- data analysis (45%)
Project B -- article review (45%)
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Project A (due Friday March 3).
Find a time-series dataset and analyze it using some of the methods
described in class, if they are relevant. Your report should contain 3-4 pages
of text, plus as many figures as appropriate.
In selecting your dataset
choose something that interests you, and have a main, answerable question
in mind.
Begin your paper with an introduction, a description of your data and how
they were obtained, and a summary of the main question(s) to be addressed
in your paper. Then summarize your analyses, paying very special attention
to any assumptions you are making and the plausibility of those assumptions.
Conclude by assessing how effective the methods you used were in helping
to answer your main question(s).
You may use xlisp-stat, or any software of your choice, for your analysis.
Project B (due Friday March 17).
A reader comprised of several recent time-series papers will be
distributed after the 2nd week of class. Read one of them carefully and
critique it, in 2-3 pages of text.
In your critique, focus on whether the methods proposed are effective and
whether any assumptions made are sensible. Take a stand, either
heavily in favor or against the paper. Do NOT critique the clarity
of the article or the author's writing style.
During the last week of lectures, the class will debate the merits
of the methods proposed in the papers in the reader. As part of project B,
you will be expected to give a 5-minute oral presentation in class,
summarizing your opinion.
There will most likely be no extensions for the projects.
Students who are unable
to turn in their projects
must consult with the instructor in advance, if possible.
Students with learning disabilities must consult with the instructor
by the 2nd week of class
if special arrangements are required.
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