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

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

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Classifying Individual Samples into One of Two Categories
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    Chapter 3 Identifying Extremely Large Observations
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    Chapter 4 Estimating Prevalence of a Trait
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    Chapter 5 A Bayesian Approach to the Classification Problem
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    Chapter 6 Inference on Mean and Variance
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    Chapter 7 Composite Sampling with Random Weights
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    Chapter 8 A Linear Model for Estimation with Composite Sample Data
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    Chapter 9 Composite Sampling for Site Characterization and Cleanup Evaluation
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    Chapter 10 Spatial Structures of Site Characteristics and Composite Sampling
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    Chapter 11 Composite Sampling of Soils and Sediments
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    Chapter 12 Composite Sampling of Liquids and Fluids
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    Chapter 13 Composite Sampling and Indoor Air Pollution
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    Chapter 14 Composite Sampling and Bioaccumulation
Attention for Chapter 4: Estimating Prevalence of a Trait
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