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Nonlinear wavelet smoothing of error density in a semiparametric regression model

โœ Scribed by Genxiang Chai; Kejun Xu


Book ID
107502185
Publisher
SP Editorial Committee of Applied Mathematics - A Journal of Chinese Universities
Year
1999
Tongue
English
Weight
313 KB
Volume
14
Category
Article
ISSN
1005-1031

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Accuracy of the normal approximation for Speckman's kernel smoothing estimator of the parametric component ; in the semiparametric regression model y=x { ;+ g(t)+e is studied when the bandwidth used in the estimator is selected by a general data-based method which includes such commonly used bandwid