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- W1990167502 abstract "We derive an identity for the maximum likelihood estimator in nonparametric missing data models and biased sampling models, which almost says that this estimator is efficient. Application of empirical process theory to the identity provides us with a straightforward consistency and efficiency proof. The identity is illustrated with the random truncation model." @default.
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- W1990167502 date "1995-12-01" @default.
- W1990167502 modified "2023-09-25" @default.
- W1990167502 title "An identity for the nonparametric maximum likelihood estimator in missing data and biased sampling models" @default.
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- W1990167502 doi "https://doi.org/10.3150/bj/1193758710" @default.
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