Amazon cover image
Image from Amazon.com

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

By: Contributor(s): Material type: TextTextSeries: Wiley handbooks in survey methodologyPublication details: Hoboken, N.J. : Wiley, ©2011.Description: 1 online resource (xi, 439 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780470904848
  • 0470904844
  • 9780470904831
  • 0470904836
  • 9786613052285
  • 6613052280
Other title:
  • Statistical data editing and imputation
Subject(s): Genre/Form: Additional physical formats: Print version:: Handbook of statistical data editing and imputation.DDC classification:
  • 001.4/22 22
LOC classification:
  • HA29 .W23 2011
Online resources:
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

Print version record.