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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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Bibliographic Details
Main Authors: Rubin, Donald B
Corporate Authors: Wiley InterScience Online service
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and mathematical statistics. Applied probability and statistics,
Subjects:
Multiple imputation Statistics
Nonresponse Statistics
Social surveys > Response rate
Échantillonnage Statistique
Enquêtes sociales > Taux de réponse
Imputation multiple Statistique
SCIENCE > Research & Methodology
Survey-onderzoek
Non-respons
Ontbrekende gegevens
Statistische analyse
Ausreißerwert
Datenerhebung
Surveys > Non-response > Statistical models
Electronic books
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 impu
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).

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