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Abstract Details
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Activity Number:
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556
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Type:
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Invited
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Date/Time:
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Wednesday, August 3, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Consulting
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| Abstract - #300273 |
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Title:
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Iteratively Growing Our Web
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Author(s):
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Xiao Chen*+
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Companies:
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University of California at Los Angeles
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Address:
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ATS/Statistical Consulting Group, Los Angeles, CA, 90095, USA
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Keywords:
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web ;
interaction ;
graduate students ;
stat software
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Abstract:
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The UCLA ATS Statistical Consulting Group has used its website to document and share knowledge in statistical computing for more than a decade. It started as an experiment to help more efficiently UCLA researchers and graduate students with their statistical computing needs and the website has proven to be extremely successful. It has become well-known not only to the UCLA research community but also to the statistical computing community worldwide.
We believe that the success of our website comes largely from the interactions of the group with many UCLA graduate students and researchers and from our constant learning of new statistical computing techniques. The growing of our website has been an iterative process. In this paper, we will focus on describing this iterative process with a couple of examples.
We will also discuss our experiments with different ways for delivering our material online, including podcasts, social bookmarks, and streaming video. Last, we will discuss the challenges we face to keep the site accurate and up to date.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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