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Reducing Bias for Maximum Approximate Conditional Likelihood Estimator with General Missing Data Mechanism
In missing data analysis, the assumption of the missing data mechanism is crucial. Under different assumptions, different statistical methods have to be developed accordingly; however, in reality this kind of assumption is usually unverifiable. Therefore a less stringent, and hence more flexible, as...
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| Veröffentlicht in: | J Nonparametr Stat |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6759332/ https://ncbi.nlm.nih.gov/pubmed/31551650 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10485252.2017.1339306 |
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