| Elements of Statistical Disclosure Control L Willenborg, T De Waal Lecture Notes in Statistics 155, 2001 | 1027* | 2001 |
| Statistical Disclosure Control in Practice L Willenborg, T De Waal Lecture Notes in Statistics. Springer-Verlag, New York 111, 1996 | 529 | 1996 |
| Handbook of statistical data editing and imputation T De Waal, J Pannekoek, S Scholtus John Wiley & Sons, 2011 | 338 | 2011 |
| 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 | 53 | 2003 |
| Information loss through global recoding and local suppression T de Waal, L Willenborg Netherlands Official Statistics 14, 17-20, 1999 | 47 | 1999 |
| 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 | 46 | 2006 |
| Multi‐source statistics: basic situations and methods T De Waal, A van Delden, S Scholtus International Statistical Review 88 (1), 203-228, 2020 | 40 | 2020 |
| A view on statistical disclosure control for microdata T De Waal, LCRJ Willenborg Survey Methodology 22 (1), 95-103, 1996 | 37 | 1996 |
| Global recodings and local suppressions in microdata sets AG DeWaal, L Willenborg Proceedings of Statistics Canada Symposium 95, 121-132, 1995 | 31* | 1995 |
| Statistical matching: Experimental results and future research questions T de Waal Statistics Netherlands, 2015 | 28 | 2015 |
| Finding errors in big data M Puts, P Daas, T de Waal Significance 12 (3), 26-29, 2015 | 28 | 2015 |
| 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 | 28* | 2007 |
| Automatic edit and imputation for business surveys T De Waal, J Pannekoek Q-conference, 2004 | 28* | 2004 |
| 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 | 27* | 2017 |
| CherryPi: a computer program for automatic edit and imputation T De Waal UN/ECE Work Session on Statistical Data Editing, Voorburg, 1996 | 25 | 1996 |
| Solving the error localization problem by means of vertex generation T De Waal Survey Methodology 29 (1), 71-80, 2003 | 24 | 2003 |
| Optimal local suppression in microdata AG De Waal, LCRJ Willenborg Journal of Official Statistics 14 (4), 421, 1998 | 24 | 1998 |
| Statistical disclosure control and sampling weights T de Waal, LCRJ Willenborg Journal of Official Statistics 13 (4), 417-434, 1997 | 24 | 1997 |
| Automatic editing for business surveys: an assessment of selected algorithms T de Waal, W Coutinho International Statistical Review 73 (1), 73-102, 2005 | 23 | 2005 |
Jeroen PannekoekVerified email at cbs.nl
