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Consistency of Normal Distribution Based Pseudo Maximum Likelihood Estimates When Data Are Missing at Random
This paper shows that, when variables with missing values are linearly related to observed variables, the normal-distribution-based pseudo MLEs are still consistent. The population distribution may be unknown while the missing data process can follow an arbitrary missing at random mechanism. Enough...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3010738/ https://ncbi.nlm.nih.gov/pubmed/21197422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/tast.2010.09203 |
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