Estimating linear functionals in nonlinear regression with responses missing at random
نویسندگان
چکیده
منابع مشابه
Estimating Linear Functionals in Nonlinear Regression with Responses Missing at Random
We consider regression models with parametric (linear or nonlinear) regression function and allow responses to be “missing at random”. We assume that the errors have mean zero and are independent of the covariates. In order to estimate expectations of functions of covariate and response we use a fully imputed estimator, namely an empirical estimator based on estimators of conditional expectatio...
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We consider regression models with parametric (linear or nonlinear) regression function and allow responses to be “missing at random.” We assume that the errors have mean zero and are independent of the covariates. In order to estimate expectations of functions of covariate and response we use a fully imputed estimator, namely an empirical estimator based on estimators of conditional expectatio...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2009
ISSN: 0090-5364
DOI: 10.1214/08-aos642