Regression for partially observed variables and nonparametric quantiles of conditional probabilities

Efficient estimation under bias sampling, censoring or truncation is a difficult question which has been partially answered and the usual estimators are not always consistent. Several biased designs are considered for models with variables $(X,Y)$ where $Y$ is an indicator and $X$ an explanatory var...

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1. Verfasser: Pons, Odile
Format: Artikel
Sprache:eng
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