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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/6322

Google™ Scholar. Others By: Delgado, Miguel A. - Vidal-Sanz, Jose M.
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ws993710.PDF-- 2010-01-11 -- Available on Internet -- preprint1,05 MBAdobe PDFformato pdf
Title: On universal unbiasedness of delta estimators
Author(s): Delgado, Miguel A. [delgado]
Vidal-Sanz, Jose M. [jvidal]
Publisher: Universidad Carlos III de Madrid. Departamento de Estadística
Issued date: May-1999
URI: http://hdl.handle.net/10016/6322
Abstract: This paper considers delta estimators of a Radon-Nicodym derivative of a probability function with respect to a measure. Sufficient conditions for asymptotic unbiasedness and global rates of convergence, which can be improved by imposing differentiability conditions on the estimated curves, are provided. A bias reduction technique is proposed, and the application of the results to regression estimation is discussed. The sufficient conditions for asymptotic unbiasedness are checked for some broad classes of nonparametric estimators.
Serie / Nº.: UC3M Working Papers. Statistics and Econometrics
99-37-10
Keywords: Bias of delta estimators
universal unbiasedness
Aproximation of the bias
Global of convergence for the bias
Bias reduction techniques
Appears in Collections:Economists Online
DES - Working Papers. Statistics and Econometrics. WS

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