This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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23
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #308267 |
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Title:
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Visualizing and Finding Minimum Delay Flights
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Author(s):
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Tanujit Dey*+ and David Phillips and Patrick Steele
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Companies:
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The College of William & Mary and The College of William & Mary and The College of William & Mary
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Address:
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Department of Mathematics, Williamsburg, VA, 23187-8795,
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Keywords:
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Bootstrapping ;
Data mining ;
Monte Carlo simulation ;
Network optimization ;
Stochastic optimization ;
Visualization
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Abstract:
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In this paper, we present a graphical decision support tool to aid in analyzing the U. S. Transport network. In addition to displaying simple statistics, our tool can calculate the expected minimum-delay route for a given origin and destination airport. Our solution algorithm uses Monte Carlo simulation to solve the corresponding shortest path problem with correlated random costs. Of particular novelty in our approach is the air network sampling that we use in order to accurately determine the cascading effect of delays on flights. Our statistical models and simulations are based on real flight data obtained from the U.S. Department of Transportation.
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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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