Sequoia Hall
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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.

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.

Time and Location
We are generally open starting in the second week of the quarter, when classes are in session. We are NOT open during the first week of the quarter, during Dead Week or Finals Week, between quarters (the Intersession), or during any University holiday period (such as Thanksgiving, Winter Closure, etc.) per the current Academic Calendar.  Other options for assistance when we are closed are listed below.

The schedule for Spring 2013 (printable flyer here) is:

Tuesdays      12noon to 2pm
Wednesdays    11am to 3pm
Thursdays    10am to 12noon
Fridays     2:30pm to 4:30pm

The final session for the Quarter will be held on the last day of classes, Wednesday, June 5, 2013.

Sessions are held in the Sequoia Hall Conference Room (the "Fishbowl") on the second floor, to the left from the top of the stairs or the elevator. Sequoia Hall is located at the southwest corner of the intersection of Serra Street and Lomita Mall. A searchable campus map (keyword: Statistics) is available to help you locate us. (The most convenient parking meters are along Lomita Drive.)

map of Sequoia Hall near the Oval

 

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.

Other Statistical Consulting Resources on Campus



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