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Resultaat 21 - 30 (van 30)
A.G. de Waal An optimality proof of Statistics Netherlands' new algorithm for automatic editing of mixed data
Non-fictie
Engels | 13 pagina's | Statistics Netherlands, Voorburg | 2000
Gedrukt boek
A.G. de Waal SLICE: a software framework for statistical data editing and imputation
Non-fictie
Engels | 11 pagina's | Statistics Netherlands, Voorburg | 2000
Gedrukt boek
A.G. de Waal SLICE: generalised software for statistical data editing and imputation
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...
Non-fictie
Engels | 7 pagina's | Statistics Netherlands, Voorburg | 2000
Gedrukt boek
A.G. de Waal | R.H. Renssen | F.J.R. van de Pol Graphical macro-editing
possibilities and pitfalls
Non-fictie
Engels | 15 pagina's | CBS, Voorburg | 2000
Gedrukt boek
A.G. de Waal From WAID trees to a software package for automatic imputation
Non-fictie
Engels | 8 pagina's | CBS, Voorburg | 1999
Gedrukt boek
A.G. de Waal Mathematical programming techniques for solving the general error localisation problem
Non-fictie
Engels | 23 pagina's | Statistics Netherlands, Voorburg | 1998
Gedrukt boek
J. Pannekoek | A.G. de Waal Small area estimators in statistical disclosure control
Non-fictie
Engels | 18 pagina's | Statistics Netherlands, Voorburg | 1998
Gedrukt boek
A.G. de Waal | Leon Willenborg SDC measures and information loss for microdata sets
Non-fictie
Engels | 15 pagina's | CBS, Voorburg | 1996
Gedrukt boek
A.G. de Waal | A.J. Hundepool | Leon Willenborg ARGUS: software for statistical disclosure control of microdata
In recent years Statistics Netherlands has developed a prototype version of a software package, ARGUS, to protect microdata files against statistical disclosure. In 1995 the present prototype version of ARGUS, namely version 1.1, has been released. In this paper both the rules, based on checking low-dimensional combinations of values of so-called identifying variables, and the techniques, global recoding and local suppression, applied by Statistics Netherlands to protect microdata sets are described....
Non-fictie
Engels | CBS, Voorburg | 1996
Gedrukt boek
Wieger Coutinho | A.G. de Waal | Marco Remmerswaal Imputation of numerical data under linear edit restrictions
A common problem faced by statistical offices is that data may be missing from collected data sets. The typical way to overcome this problem is to impute the missing data. The problem of imputing missing data is complicated by the fact that statistical data often have to satisfy certain edit rules, which for numerical data usually take the form of linear restrictions. Standard imputation methods for numerical data as described in the literature generally do not take such linear edit restrictions...
Non-fictie
Engels | 25 pagina's | CBS, Statistics Netherlands, Voorburg [etc.] | 2007
Gedrukt boek