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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_26C | Tue, 8/4/09, 8:30 AM - 5:00 PM | RH-Meeting Room 15 |
| Comprehensive Data Analysis Using Interactive Statistical Graphics - Continuing Education - Course | ||
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ASA, Section on Statistical Graphics |
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| Instructor(s): Martin Theus, Telefonica o2-Germany GmbH & Co. OHG, Simon Urbanek, AT&T Labs | ||
| Applied statistics is the basis for decisionmaking and knowledge discovery in a variety of fields and applications. Interactive graphical methods are successfully used in the early stages of the analytic process and appreciated due their ability to identify patterns and anomalies quickly. However, it was not until recently that methods and tools became available that allow the extension of purely descriptive graphical analysis to interactive visualization of statistical properties and model-based analysis. This course consists of a methodology part and a practical, hands-on part. In the first, we will review the basic methodology of interactive graphics in a concise framework. We will also explore the tools available and their fitness for a specific data analytic task. We will further focus on the integration of statistics and models in the interactive visualization in practice. We will also cover the most recent advances in model selection and comparison aimed at understanding model behavior with respect to the underlying data, allowing for models that are better suited for a given application than standard statistical approaches. During the course, I will demonstrate the practical use of the available state-of-the-art interactive graphics software for data analysis. Attendees will be able to (re)run the practical parts on their own and are encouraged to bring their laptops. Electrical outlets will be provided for each person attending the course. | ||
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |