Identifying extremely large values using composite sample data |
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Authors: | S D Gore G P Patil |
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Institution: | (1) Center for Statistical Ecology and Environmental Statistics, Department of Statistics, The Pennsylvania State University, 16802 University Park, PA, USA |
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Abstract: | Quantifying a composite sample results in a loss of information on the values of the constituent individual samples. As a consequence of this information loss, it is impossible to identify individual samples having large values, based on composite sample measurements alone. However, under certain circumstances, it is possible to identify individual samples having large values without exhaustively measuring all individual samples. In addition to composite sample measurements, a few additional measurements on carefully selected individual samples are sufficient to identify the individual samples having large values. In this paper, we present a statistical method to recover extremely large individual sample values using composite sample measurements. An application to site characterization is used to illustrate the method.The paper has been prepared with partial support from the United States Environmental Protection Agency Number CR815273. The contents have not been subject to Agency review and therefore do not necessarily reflect the views or policies of the Agency and no official endorsement should be inferred. |
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Keywords: | Compliance monitoring composite sample extreme values hot-spots observational economy precision retesting site characterization |
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