Abstract
A basic problem in the statistical analysis of data sets is the loss of single observations, of variables, or of single values. Rubin (1976) can be regarded as the pioneer of the modern theory of Nonresponse in Sample Surveys. Little and Rubin (1987) and Rubin (1987) have discussed fundamental concepts for handling missing data based on decision theory and models for the mechanism of nonresponse.
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© 2009 Springer Science+Business Media, LLC
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Toutenburg, H., Shalabh (2009). Statistical Analysis of Incomplete Data. In: Statistical Analysis of Designed Experiments, Third Edition. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1148-3_11
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DOI: https://doi.org/10.1007/978-1-4419-1148-3_11
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