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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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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2010
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| Témata: | |
| On-line přístup: | 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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