Robust regression imputation for analyzing missing data

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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...

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Bibliographic Details
Main Authors:	Rana, Md. Sohel, John, Ahamefule Happy, Midi, Habshah
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2012
Online Access:	http://psasir.upm.edu.my/id/eprint/69354/ http://psasir.upm.edu.my/id/eprint/69354/1/Robust%20regression%20imputation%20for%20analyzing%20missing%20data.pdf

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