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Sampling Theory and Practice

Overview of attention for book
Cover of 'Sampling Theory and Practice'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Concepts in Survey Sampling
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    Chapter 2 Simple Single-Stage Sampling Methods
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    Chapter 3 Stratified Sampling and Cluster Sampling
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    Chapter 4 General Theory and Methods of Unequal Probability Sampling
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    Chapter 5 Model-Based Prediction and Model-Assisted Estimation
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    Chapter 6 Calibration Weighting and Estimation
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    Chapter 7 Regression Analysis and Estimating Equations
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    Chapter 8 Empirical Likelihood Methods
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    Chapter 9 Methods for Handling Missing Data
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    Chapter 10 Resampling and Replication Methods
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    Chapter 11 Bayesian Empirical Likelihood Methods
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    Chapter 12 Area Frame Household Surveys
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    Chapter 13 Telephone and Web Surveys
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    Chapter 14 Natural Resource Inventory Surveys
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    Chapter 15 Adaptive and Network Surveys
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    Chapter 16 Dual Frame and Multiple Frame Surveys
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    Chapter 17 Non-probability Survey Samples
Attention for Chapter 9: Methods for Handling Missing Data
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