Empirical Likelihood in Missing Data Problems
Missing data is a ubiquitous problem in medical and social sciences. It is well known that inferences based only on the complete data may not only lose efficiency, but may also lead to biased results if the data is not missing completely at random (MCAR). The inverse-probability weighting method pro...
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Main Authors: | QIN, Jing, ZHANG, Biao, LEUNG, Denis H. Y. |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
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Online Access: | https://ink.library.smu.edu.sg/soe_research/160 https://ink.library.smu.edu.sg/context/soe_research/article/1159/viewcontent/Empirical_Likelihood_Missing_Data_2009.pdf |
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Institution: | Singapore Management University |
Language: | English |
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