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Handbook of statistical data editing and imputation / Ton de Waal, Jeroen Pannekoek, Sander Scholtus.

By: Waal, Ton de.
Contributor(s): Pannekoek, Jeroen, 1951- | Scholtus, Sander, 1983-.
Material type: materialTypeLabelBookSeries: Wiley handbooks in survey methodology: Publisher: Hoboken, N.J. : Wiley, ©2011Description: 1 online resource (xi, 439 pages) : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9780470904848; 0470904844; 9780470904831; 0470904836; 9786613052285; 6613052280.Other title: Statistical data editing and imputation.Subject(s): Statistics -- Standards | Data editing | Data integrity | Quality control | Statistical services -- Evaluation | Mathematics | SCIENCE -- Research & Methodology | Data editing | Data integrity | Quality control | Statistical services -- Evaluation | Statistics -- StandardsGenre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: Handbook of statistical data editing and imputation.DDC classification: 001.4/22 Online resources: Wiley Online Library
Contents:
Frontmatter -- Introduction to statistical data editing and imputation -- Methods for deductive correction -- Automatic editing of continuous data -- Automatic editing: extensions to categorical data -- Automatic editing: extensions to integer data -- Selective editing -- Imputation -- Multivariate imputation -- Imputation under edit constraints -- Adjustment of imputed data -- Practical applications -- Index.
Summary: This book provides a comprehensive overview of the edit and imputation process for detecting and correcting errors in survey research. The authors begin with an introduction to the problem of errors and missing values in survey data and then go on to explore the methods for correcting systematic errors, identifying random errors, and error localization in numerical and categorical data. Next, an intricate discussion of selective editing outlines various mechanisms for identifying the appropriate resources for treating data errors.
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This book provides a comprehensive overview of the edit and imputation process for detecting and correcting errors in survey research. The authors begin with an introduction to the problem of errors and missing values in survey data and then go on to explore the methods for correcting systematic errors, identifying random errors, and error localization in numerical and categorical data. Next, an intricate discussion of selective editing outlines various mechanisms for identifying the appropriate resources for treating data errors.

Includes bibliographical references and index.

Frontmatter -- Introduction to statistical data editing and imputation -- Methods for deductive correction -- Automatic editing of continuous data -- Automatic editing: extensions to categorical data -- Automatic editing: extensions to integer data -- Selective editing -- Imputation -- Multivariate imputation -- Imputation under edit constraints -- Adjustment of imputed data -- Practical applications -- Index.

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