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Ton De Waal
Ton De Waal
Statistics Netherlands
Verified email at cbs.nl
Title
Cited by
Cited by
Year
Elements of Statistical Disclosure Control
L Willenborg, T De Waal
Lecture Notes in Statistics 155, 2001
1035*2001
Statistical Disclosure Control in Practice
L Willenborg, T De Waal
Lecture Notes in Statistics. Springer-Verlag, New York 111, 1996
5321996
Handbook of statistical data editing and imputation
T De Waal, J Pannekoek, S Scholtus
John Wiley & Sons, 2011
3492011
Processing of erroneous and unsafe data
AG Waal
Erasmus University Rotterdam, 2003
75*2003
A fast and simple algorithm for automatic editing of mixed data
T De Waal, R Quere
Journal of Official statistics 19 (4), 383, 2003
532003
Information loss through global recoding and local suppression
T de Waal, L Willenborg
Netherlands Official Statistics 14, 17-20, 1999
481999
Protection of micro-data subject to edit constraints against statistical disclosure
N Shlomo, T De Waal
Journal of Official Statistics 24 (2), 229-253, 2006
472006
Multi‐source statistics: basic situations and methods
T De Waal, A van Delden, S Scholtus
International Statistical Review 88 (1), 203-228, 2020
412020
A view on statistical disclosure control for microdata
T De Waal, LCRJ Willenborg
Survey Methodology 22 (1), 95-103, 1996
381996
Global recodings and local suppressions in microdata sets
AG DeWaal, L Willenborg
Proceedings of Statistics Canada Symposium 95, 121-132, 1995
31*1995
Finding errors in big data
M Puts, P Daas, T de Waal
Significance 12 (3), 26-29, 2015
302015
Statistical matching: Experimental results and future research questions
T de Waal
Statistics Netherlands, 2015
292015
Recommended practices for editing and imputation in cross-sectional business surveys
O Luzi, T De Waal, B Hulliger, M Di Zio, J Pannekoek, D Kilchmann, ...
Italian Statistical Institute ISTAT, 2007
29*2007
Estimating classification errors under edit restrictions in composite survey-register data using multiple imputation latent class modelling (MILC)
L Boeschoten, D Oberski, T De Waal
Journal of Official Statistics 33 (4), 921-962, 2017
28*2017
Automatic edit and imputation for business surveys
T De Waal, J Pannekoek
Q-conference, 2004
28*2004
CherryPi: a computer program for automatic edit and imputation
T De Waal
UN/ECE Work Session on Statistical Data Editing, Voorburg, 1996
251996
Solving the error localization problem by means of vertex generation
T De Waal
Survey Methodology 29 (1), 71-80, 2003
242003
Optimal local suppression in microdata
AG De Waal, LCRJ Willenborg
Journal of Official Statistics 14 (4), 421, 1998
241998
Statistical disclosure control and sampling weights
T de Waal, LCRJ Willenborg
Journal of Official Statistics 13 (4), 417-434, 1997
241997
Automatic editing for business surveys: an assessment of selected algorithms
T de Waal, W Coutinho
International Statistical Review 73 (1), 73-102, 2005
232005
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