Multiple imputation for nonresponse in surveys
Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers...
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Published: |
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Literature type: | Electronic eBook |
Language: | English |
Series: |
Wiley series in probability and mathematical statistics. Applied probability and statistics,
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Subjects: | |
Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9780470316696 |
Summary: |
Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputa. |
Carrier Form: | 1 online resource (xxix, 258 pages) : illustrations. |
Bibliography: | Includes bibliographical references (pages 244-250) and index. |
ISBN: |
9780470316696 0470316691 9780470317365 (electronic bk.) 0470317361 (electronic bk.) |
Index Number: | HA31 |
CLC: | C811 |
Contents: | Multiple Imputation for Nonresponse in Surveys; Contents; TABLES AND FIGURES; GLOSSARY; 1. INTRODUCTION; 1.1. Overview; 1.2. Examples of Surveys with Nonresponse; 1.3. Properly Handling Nonresponse; 1.4. Single Imputation; 1.5. Multiple Imputation; 1.6. Numerical Example Using Multiple Imputation; 1.7. Guidance for the Reader; Problems; 2. STATISTICAL BACKGROUND; 2.1. Introduction; 2.2. Variables in the Finite Population; 2.3. Probability Distributions and Related Calculations; 2.4. Probability Specifications for Indicator Variables; 2.5. Probability Specifications for (X, Y). |