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Activity Number: 453
Type: Contributed
Date/Time: Wednesday, August 6, 2008 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #301227
Title: An Adaptive Sampling Procedure for Estimating Heavy Metal Pollutants of Ground Water from Soil
Author(s): Ismaila A. Adeleke*+ and Ray Okafor and Ebeneezer O. Esan and Kehinde Olayinka and Aderonke Oyeyiola and Anthanasius Opara
Companies: University of Lagos and University of Lagos and University of Lagos and University of Lagos and University of Lagos and University of Laos
Address: Department of Actuarial Science, Lagos, 9610001, Nigeria
Keywords: Adaptive Sampling ; Heavy Metal Pollutants ; Design-Assisted-cum-Model-Based Estimation Approach
Abstract:

We consider an adaptive cluster sampling procedure for assessment of contaminant risk to ground water from soil at Owode-Onirin, Lagos, Nigeria. This method provides a more efficient way of sampling sparse but highly clustered population, and takes the advantage of spatial clustered population to yield more efficient estimates of the concentrations of heavy metals pollutants of ground water from soil. A model-assisted estimation approach that incorporates models into the design-based estimation frame work was considered.

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