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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| التنسيق: | text |
| اللغة: | English |
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Institutional Knowledge at Singapore Management University
2009
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| الوصول للمادة أونلاين: | 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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| المؤسسة: | Singapore Management University |
| اللغة: | English |