Fractional hot deck imputation

By Jae Kwang Kim, Wayne A. Fuller. 2004

155 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c2cdd76323c00eff3e1f73f16fe9e8f7119c68e2

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In Statistics and Probability

1. Jae Kwang Kim
2. Songxi Chen
3. J. Rao
4. Graham Kalton
5. J. Michael Brick
6. Dong Wang
7. Wayne A. Fuller
8. Liugen Xue

Citations in the corpus

• On the bias of the multiple‐imputation variance estimator in survey sampling (2006, methodology): “Alternative imputation and variance estimation methods are discussed in Rao and Shao (1992), Särndal (1992), Brick et al. (2004), Kim and Fuller (2004) and Fuller and Kim (2005).”
• A unified approach to linearization variance estimation from survey data after imputation for item nonresponse (2009, methodology): “The underlying population model for hot deck imputation within cells is the cell mean model; see Kim & Fuller (2004).”
• EMPIRICAL LIKELIHOOD FOR ESTIMATING EQUATIONS WITH MISSING VALUES (2009, background): “In survey statistics, Kim and Fuller (2004) proposed the fractional hot deck imputation”