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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.
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2009
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在線閱讀: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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機構: Singapore Management University
語言: English