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Activity Number:
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460
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 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 - #307556 |
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Title:
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Composite Sampling for Environmental Variables
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Author(s):
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Sylvia Esterby*+ and Abdel H. El-Shaarawi
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Companies:
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The University of British Columbia and National Water Research Institute
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Address:
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Mathematics Statistics and Physics, Kelowna, BC, V1V 1V7, Canada
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Keywords:
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composite sampling ; environmental data ; water quality
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Abstract:
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Composite sampling can be an efficient sampling method for detecting rare conditions and estimating characteristics of quantitative variables. In the collection of environmental data, one of the advantages of the method is the ability to increase spatial and temporal coverage without increasing the number of samples. It has been shown that composite sampling results in a gain in the efficiency when estimating the mean. This will not always be the case when estimating the variance, where kurtosis plays an important role. Efficient estimation is evaluated for several designs, including composite sampling, and for distributions relevant to water quality.
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