A.G. de Waal SLICE: generalised software for statistical data editing and imputation
Gedrukt boek
Statistical offices have to face the problem that data collected by surveys or obtained from administrative registers generally contain errors as well as the problem that values in data sets obtained from these sources may be missing. To handle such errors and missing data efficiently Statistics Netherlands is currently developing a software package, called SLICE (Statistical Localisation. Imputation and Correction of Errors). SLICE will contain several edit and imputation modules. Examples are a module for automatic editing and a module for imputation based on tree-models. In this paper we describe SLICE. We hereby focus on the above-mentioned modules. Key words: Automatic data editing ; Computer-assisted editing ; Fellegi-Holt paradigm ; Imputation ; Statistical data editing