Statistical Analysis of Incomplete Data

Helge Toutenburg
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Helge Toutenburg: University of Munich, Institute of Statistics

Chapter 9 in Experimental Design and Model Choice, 1995, pp 307-334 from Springer

Abstract: 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 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.

Keywords: Complete Case; Complete Case Analysis; Random Subsample; Selectivity Bias; Miss Data Mechanism (search for similar items in EconPapers)
Date: 1995
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DOI: 10.1007/978-3-642-52498-1_9

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