Consulting
Purpose
The Department of Statistics offers a free, drop-in consulting service to members of the University community. Under the supervision of a senior faculty member, statistics doctoral candidates and experienced master's students provide assistance in areas including:
- Experimental design;
- Data analysis and interpretation of results;
- Model fitting;
- Time series;
- Classification and prediction.
For software support, consult with Social Science Data and Software (SSDS).
We encourage you to drop by, especially at the early stages of your research.
To improve the quality of our service, the first meeting will mainly be used to discuss the case with our clients in detail. Please bring your data, charts, plots, etc. After reflecting on the problem we will provide you with our advice in a second meeting.
Industrial Affiliates Initiative
We also offer the opportunity for scientists, engineers and researchers in local companies to meet with our graduate students in an informal setting. We are interested in hearing about technical problems in applied statistics, optimization and related fields. This introduction might lead to ongoing consulting arrangements or membership in our Industrial Affiliates Program.
Time and Location
We are generally open ONLY starting the second week of the quarter, when classes are in session (including Summer). We are NOT open during the first week of the quarter, dead week, finals week or between quarters, per the current Academic Calendar. See below for other options for assistance when we are closed.
The schedule for Spring 2008 is:
Tuesdays 12:30-2:00
Thursdays 3:30-5:00
Consulting resumes April 10. Last session for spring is May 29.
Sessions are held in Sequoia Hall, Room 220 (the second floor, next to the stairs).
Sequoia Hall
Sequoia Hall is located at the Southwest corner of the Serra Street- Lomita Mall intersection.
A searchable campus map (keyword: Statistics) is available to help you locate us.
(The most convenient parking meters are along Lomita Drive.)
Other Statistical Consulting Resources on Campus
 |
