http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Handbook of statistical data editing and imputation
1 online resource (xi, 439 pages) : illustrations.
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.
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.
Ton de Waal, Jeroen Pannekoek, Sander Scholtus.
Includes bibliographical references and index.