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Activity Number:
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453
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Type:
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Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #301230 |
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Title:
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A Bootstrap Model for Estimating the Concentration of Some Heavy Metals To Determine Contaminant Risk to Ground Water from Soil
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Author(s):
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Ismaila A. Adeleke and Ray Okafor*+ and Ebeneezer O. Esan and Kehinde Olayinka and Aderonke Oyeyiola and Shakirudeen Odunuga and Dallah Hamadu
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Companies:
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University of Lagos and University of Lagos and University of Lagos and University of Lagos and University of Lagos and University of Lagos
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Address:
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Department of Mathematics, Lagos, 9600001, Nigeria
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Keywords:
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Adaptive Sampling ; Heavy Metal Pollutants ; Bootstrap Estimation Model ; Horvitz-Thompson and Hansen-Horvitz-Type Estimation
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Abstract:
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Estimation of the concentration of some heavy metals in soil is very important in risk assessment study to determine contaminant risk to water from soil. An adaptive cluster sampling technique was employed and a model-assisted approach that incorporates models into design-based estimation was used. In this paper, a bootstrap procedure is proposed to approximate the distribution of the concentration of heavy metals in the soil. The proposed method overcomes the problems associated with methods requiring distributional assumptions the validity of which are often times extremely difficult to check. We conclude with a comparison of this procedure to the well known Horvitz-Thompson and the Hansen-Horwitz type estimators.
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