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Recent Advances on Sampling Methods and Educational Statistics

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Recent Advances on Sampling Methods and Educational Statistics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Predictive Modelling and Judgement Post-stratification
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    Chapter 2 Judgment Post-stratified Sampling with Multiple Ranking: A Comparison with Ranked Set Sampling
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    Chapter 3 Efficient Sample Allocation by Local Adjustment for Unbalanced Ranked Set Sampling
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    Chapter 4 On the Versatility of Capture-Recapture Modeling: Counting What We Don’t See
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    Chapter 5 Advances in the Use of Capture-Recapture Methodology in the Estimation of U.S. Census Coverage Error
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    Chapter 6 Measurement Issues in Synthesizing Survey-Item Responses
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    Chapter 7 Two Sources of Nonsampling Error in Fishing Surveys
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    Chapter 8 Triple System Estimation with Erroneous Enumerations
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    Chapter 9 Record Linkage in Statistical Sampling: Past, Present, and Future
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    Chapter 10 A Bayesian Latent Variable Model for Analysis of Empathic Accuracy
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    Chapter 11 Variance Estimation for Random-Groups Linking in Large-Scale Survey Assessments
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    Chapter 12 Item Response Theory and Fisher Information for Small Tests
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    Chapter 13 Statistical Evaluation of Process Variables: A Case Study on Writing Tool Usage in Educational Survey Assessment
Attention for Chapter 4: On the Versatility of Capture-Recapture Modeling: Counting What We Don’t See
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Chapter title
On the Versatility of Capture-Recapture Modeling: Counting What We Don’t See
Chapter number 4
Book title
Recent Advances on Sampling Methods and Educational Statistics
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-14525-4_4
Book ISBNs
978-3-03-114524-7, 978-3-03-114525-4
Authors

Nichols, James D.

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