Robust regression imputation for analyzing missing data
Missing data arises in many statistical analyses which lead to biased estimates. In order to rectify this problem, single imputation and multiple imputation methods are put forward. However, it is found that both single and multiple imputation methods are easily affected by outliers and give poor es...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69354/1/Robust%20regression%20imputation%20for%20analyzing%20missing%20data.pdf |