Abstract Details
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Activity Number:
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182
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #309141 |
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Title:
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Adaptive Probability-Based Sampling for Environmental Studies
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Author(s):
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Huijuan Li*+ and Hung Ying
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Companies:
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Rutgers University and Rutgers University
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Keywords:
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rare species ;
irregular sampling frame ;
adaptive cluster sampling ;
latin hypercube design ;
space-filling design ;
Tabu search
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Abstract:
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Environmental studies invariably involve rare and clustered populations distributed over a large space with irregular sampling frame. A new sampling plan is proposed which enhances the estimation efficiency by taking into account the shape of the sampling region and incorporating a novel adaptive procedure. Unbiased estimators, an optimal sampling criterion, and a heuristic search algorithm is introduced. Applications to real examples are presented, which show remarkable improvement in estimation efficiency using the proposed plan over existing methods.
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Authors who are presenting talks have a * after their name.
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