Grading.
Statistics 221:  Time Series Analysis, Prof. Paik Schoenberg. <br><br>

Project A -- data analysis (45%)<br>
Project B -- article review (40%)<br>
Oral Presentation (15%) <br><br>

<a href="http://www.stat.ucla.edu/~frederic/221/F01/handouts.php">
CLICK HERE FOR HANDOUTS </a>.<br><br>


Project A (due Friday Nov 16).<br>
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, followed by as many figures as appropriate.  You may include as 
many figures as you like, but the text may NOT exceed 4 pages, 
double-spaced.<br><br>

In selecting your dataset
choose something that interests you, and try to 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).<br>
You may use R, xlisp-stat, or any software of your choice, for your analysis.<br>
<br><br>

Project B (due Friday December 7).<br>
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.<br>
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.<br><br>

Oral Presentation (Dec 3-7).<br>
During the last few lectures, the class will debate the merits 
of the methods proposed in the papers in the reader.  Using the same 
paper you are writing about in Project B,
you will give a 5-8 minute oral presentation in class, 
summarizing your opinion.<br><br><br>    

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.
<br><br>

Students with learning disabilities must consult with the instructor
by the 2nd week of class
if special arrangements are required.<br><br>

<a href="http://www.stat.ucla.edu/courses/01F/stat221_1/">
Back to main Stat 221 page.</a>