The issue of missing data may arise for researchers who deal with data gathering problems. Different methods of missing data imputation have been proposed to deal with such problems. The Bayesian ...
Rubin & Schenker (1986) proposed the approximate Bayesian bootstrap, a two-stage resampling procedure, as a method of creating multiple imputations when missing data are ignorable. Kim (2002) showed ...
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