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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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書誌詳細
主要な著者: Yuan, Ke-Hai, Bentler, Peter M.
フォーマット: Artigo
言語:Inglês
出版事項: 2010
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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