Composite Sampling: A Novel Method to Accomplish Observational Economy in Environmental Studies

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Springer Science & Business Media, Dec 25, 2010 - Medical - 275 pages
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Sampling consists of selection, acquisition, and quantification of a part of the population. While selection and acquisition apply to physical sampling units of the population, quantification pertains only to the variable of interest, which is a particular characteristic of the sampling units. A sampling procedure is expected to provide a sample that is representative with respect to some specified criteria. Composite sampling, under idealized conditions, incurs no loss of information for estimating the population means. But an important limitation to the method has been the loss of information on individual sample values, such as, the extremely large value. In many of the situations where individual sample values are of interest or concern, composite sampling methods can be suitably modified to retrieve the information on individual sample values that may be lost due to compositing. This book presents statistical solutions to issues that arise in the context of applications of composite sampling.

 

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Contents

1 Introduction
1
2 Classifying Individual Samples into One of Two Categories
9
3 Identifying Extremely Large Observations
55
4 Estimating Prevalence of a Trait
81
5 A Bayesian Approach to the Classification Problem
87
6 Inference on Mean and Variance
97
7 Composite Sampling with Random Weights
115
8 A Linear Model for Estimation with Composite Sample Data
135
10 Spatial Structures of Site Characteristics and Composite Sampling
183
11 Composite Sampling of Soils and Sediments
209
12 Composite Sampling of Liquids and Fluids
227
13 Composite Sampling and Indoor Air Pollution
235
14 Composite Sampling and Bioaccumulation
239
Glossary and Terminology
243
Bibliography
249
Index
267

9 Composite Sampling for Site Characterization and Cleanup Evaluation
175

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