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T.N. Herzog, F.J. Scheuren, & W.E. Winkler (2007). Data quality and record linkage techniques. New York: Springer Science+Business Media. 234 pp. US$44.95. ISBN: 978-0-387-69502-0.
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T.N. Herzog, F.J. Scheuren, & W.E. Winkler (2007). Data quality and record linkage techniques. New York: Springer Science+Business Media. 234 pp. US$44.95. ISBN: 978-0-387-69502-0.
Published online by Cambridge University Press:
01 January 2025
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References
Barnard, J., Rubin, D.B., & Schenker, N. (1998). Multiple imputation methods. Encyclopaedia of biostatistics, New York: Wiley.Google Scholar
Naus, J.I. (1975). Data quality control and editing, New York: Marcel Dekker.Google Scholar
Newcombe, H.B. (1988). Handbook of record linkage: Methods for health and statistical studies, administration, and business, Oxford: Oxford University Press.Google Scholar
Schafer, J.L. (1997). Analysis of incomplete multivariate data, New York: Chapman & Hall.CrossRefGoogle Scholar
Sinharay, S., Stern, H.S., & Russell, D. (2001). The use of multiple imputation for the analysis of missing data. Psychological Methods, 6, 317–329.CrossRefGoogle ScholarPubMed
Unwin, A., Theus, M., & Hofmann, H. (2006). Graphics of large data sets, New York: Springer.Google Scholar