Waal, Ton de
![Sudoc [ABES], France](/viaf/images/flags/SUDOC.png "Sudoc [ABES], France")
Waal, A.G. de (Anthonie Gerardus), 1963-
Waal, Ton de 1963-
Ton de Waal Ph.D. Erasmus Universiteit Rotterdam 2003
VIAF ID: 62255414 (Personal)
Permalink: http://viaf.org/viaf/62255414
Preferred Forms
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100 0 _
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Ton de Waal
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Ph.D. Erasmus Universiteit Rotterdam 2003
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100 1 _ ‡a Waal, A.G. de ‡q (Anthonie Gerardus), ‡d 1963-
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100 1 _ ‡a Waal, Ton de
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100 1 _
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Waal, Ton de
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100 1 _ ‡a Waal, Ton de
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100 1 0
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Waal, Ton de
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100 1 _
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Waal, Ton de
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100 1 _ ‡a Waal, Ton de
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100 1 _
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Waal, Ton de
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100 1 _ ‡a Waal, Ton de ‡d (1963- ).
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100 1 _ ‡a Waal, Ton de, ‡d 1963-
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100 1 _
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Waal, Ton de
‡d
1963-
4xx's: Alternate Name Forms (9)
5xx's: Related Names (1)
Works
| Title | Sources |
|---|---|
| Afronden van tabellen: een methode om de privacy van respondenten te beschermen |
|
| An algorithm for consistent imputation in mixed data |
|
| ARGUS user's guide |
|
| Beknopte handleiding MacroView (bètaversie 2.0) |
|
| CHERRYPI: a computer program for automatic edit and imputation |
|
| Computational results for various error localisation algorithms |
|
| Development of ARGUS: past, present, future |
|
| Development of (automatic) error localisation strategy for the ABI and EPE Data |
|
| Distinguishing rare from common characteristics in a microdata set |
|
| The error localisation problem as a dynamic disjunctive-facet problem |
|
| Estimators for small areas |
|
| From WAID trees to a software package for automatic imputation |
|
| Graphical macro-editing : possibilities and pitfalls |
|
| Handbook of statistical data editing and imputation |
|
| The hypercube method for suppression in tables |
|
| Identifying balance restrictions |
|
| Improvements on Pergamentsev's algorithm for automatic error localisation in general data |
|
| Imputation of numerical data under linear edit restrictions |
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| Integratie van databronnen: het combineren van meerdere legpuzzels |
|
| An introduction to CherryPi and MacroView |
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| Manual WAID (4.1) |
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| Mathematical programming techniques for solving the general error localisation problem |
|
| The maximum expected number of unique individuals in a population |
|
| Minimizing the number of local suppressions in a microdata set |
|
| New developments in automatic edit and imputation at statistics Netherlands |
|
| The number of tables to be examined in a disclosure control procedure |
|
| On principles for automatic editing of numerical data with equality checks |
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| On two conjectures concerning linked tables |
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| An optimality proof of Statistics Netherlands' new algorithm for automatic editing of mixed data |
|
| Optimum global recording and local suppression |
|
| Potential improvements in LEO/Cherrie Pie and ECS |
|
| Processing of erroneous and unsafe data |
|
| A recipe for applying CHERRYPI in the edit process |
|
| SDC measures and information loss for microdata sets |
|
| SLICE |
|
| Statistical disclosure control in practice, 1996: |
|
| Stochastic models for the errors on a digital communication channel |
|
| Syllabus bij de cursus gaafmaken : versie 1 |
|
