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Abstract Details
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Activity Number:
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251
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 1, 2011 : 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 - #302669 |
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Title:
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Detecting Oil Through Indirect Measurement
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Author(s):
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Patrick Robert Steele*+ and Jennifer Anne Thorne and Amy Olivia Russell
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Companies:
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The College of William and Mary and The College of William and Mary and The College of William and Mary
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Address:
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CSU 2936, PO Box 8793, Williamsburg, VA, 23187,
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Keywords:
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optimization ;
sampling
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Abstract:
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There are many difficulties associated with measuring oil contamination in the ocean. Not only are specialized equipment and procedures necessary to collect and analyze the data, the collection itself can expose those involved to hazardous environments. We explore data collection methods designed to minimize the above difficulties; namely, we consider: minimizing the number of observations required to accurately gauge the extent of the oil spill; developing collection techniques that allow for indirect measurement of the oil spill; and maximizing the data collected given fixed financial resources.
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