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In defining selection bias, we have considered only the parallel universe of the treated group or the untreated group … paper, we redefined selection bias by considering all four existing universes in the real and hypothetical worlds, and we …
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In this paper, we analyze the nonparametric part of a partially linear model when the covariates in parametric and non-parametric parts are subject to measurement errors. Based on a two-stage semi-parametric estimate, we construct a uniform con dence surface of the multivariate function for...
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bias in the empirical distribution arising from the presence of noise. The leading bias in the empirical quantile function … mean and variance have been derived. Given a closed-form expression for the bias, bias-corrected estimator of the …-parametric and easy to implement. Our approach can be connected to corrections for selection bias and shrinkage estimation and is to …
Persistent link: https://www.econbiz.de/10012063831
bias in the empirical distribution arising from the presence of noise. The leading bias in the empirical quantile function … for selection bias and shrinkage estimation and is to be contrasted with deconvolution. Simulation results confirm the …
Persistent link: https://www.econbiz.de/10012792731