On the bias of the multiple-imputation variance estimator in survey sampling
Multiple imputation is a method of estimating the variances of estimators that are constructed with some imputed data. We give an expression for the bias of the multiple-imputation variance estimator for data that are collected with a complex sample design. The bias may be sizable for certain estimators, such as domain means, when a large fraction of the values are imputed. A bias-adjusted variance estimator is suggested. Copyright 2006 Royal Statistical Society.
Year of publication: |
2006
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Authors: | Kim, Jae Kwang ; Brick, J. Michael ; Fuller, Wayne A. ; Kalton, Graham |
Published in: |
Journal of the Royal Statistical Society Series B. - Royal Statistical Society - RSS, ISSN 1369-7412. - Vol. 68.2006, 3, p. 509-521
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Publisher: |
Royal Statistical Society - RSS |
Saved in:
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