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 resear...

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Bibliographic Details
Main Author: Rubin, Donald B. 1943- (Author)
Format: Electronic eBook
Language:English
Published: New York ; Chichester ; Brisbane ; Toronto ; Singapore John Wiley & Sons [1987]
Series:Wiley series in probability and mathematical statistics. Applied probability and statistics
Subjects:
Online Access:FRO01
UBG01
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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 imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics." (Verlagsinformation)
Physical Description:1 Online-Ressource (XXIX, 258 Seiten)
ISBN:9780470316696
9780470317365

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