References
- Anderson, I. (1989). A First Course in Combinatorial Mathematics, (second edition). Oxford: Oxford University Press.
- De Waal, T., Pannekoek, J., and Scholtus, S. (2011). Handbook of Statistical Data Editing and Imputation. New York: John Wiley & Sons.
- De Waal, T. and Quere, R. (2003). A Fast and Simple Algorithm for Automatic Editing of Mixed Data. Journal of Official Statistics, 19, 383-402.
- Di Zio, M., Scanu, M., Coppola, L., Luzi, O., and Ponti, A. (2004). Bayesian Networks for Imputation. Journal of the Royal Statistical Society: Series A, 167, 309-322.
- ESSnet on Data Integration (2011). Report on WP 2: Methodological Developments. Available at: http://www.essnet-portal.eu/sites/default/files/131/WP2.pdf.
- Favre, A.-C., Matei, A., and Tillé, Y. (2005). Calibrated Random Imputation for Qualitative Data. Journal of Statistical Planning and Inference, 128, 411-425.
- Fellegi, I.P. and Holt, D. (1976). A Systematic Approach to Automatic Edit and Imputation. Journal of the American Statistical Association, 71, 17-35.
- Houbiers, M. (2004). Towards a Social Statistical Database and Unified Estimates at Statistics Netherlands. Journal of Official Statistics, 20, 55-75.
- Kalton, G. and Kasprzyk, D. (1986). The Treatment of Missing Survey Data. Survey Methodology, 12, 1-16.
- Knottnerus, P. and Van Duin, C. (2006). Variances in Repeated Weighting with an Application to the Dutch Labour Force Survey. Journal of Official Statistics, 22, 565-584.
- Little, R.J.A. and Rubin, D.B. (2002). Statistical Analysis with Missing Data (second edition). New York: John Wiley & Sons.
- Liu, T.-P. and Rancourt, E. (1999). Categorical Constraints Guided Imputation for Nonresponse in Survey. Report, Statistics Canada.
- Longford, N.T. (2005). Missing Data and Small-Area Estimation. New York: Springer.
- McKnight, P.E., McKnight, K.M., Sidani, S., and Figueredo, A.J. (2007). Missing Data - A Gentle Introduction. New York: The Guilford Press.
- Pannekoek, J., Shlomo, N., and De Waal, T. (2008). Calibrated Imputation of Numerical Data under Linear Edit Restriction. UN/ECE Work Session on Statistical Data Editing, Vienna.
- Pfefferman, D. and Rao, C.R. (2009). Handbook of Statistics 29, Volume 29A. Amsterdam: Elsevier.
- Rubin, D.B. (1976). Inference and Missing Data. Biometrika, 63, 581-592.
- Rubin, D.B. (1987). Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.
- Schafer, J.L. (1997). Analysis of Incomplete Multivariate Data. London: Chapman & Hall.
- Van Lint, J.H. and Wilson, R.M. (2001). A Course in Combinatorics (second edition). Cambridge: Cambridge University Press.
- Winkler, W.E. (2003). Contingency-Table Model for Imputing Data Satisfying Analytic Constraints. U.S. Bureau of the Census, Washington, D.C.